From b948b1ce62e511e8497eaf126a1a77fa29bf8bf4 Mon Sep 17 00:00:00 2001 From: PHYSBO Developers Date: Tue, 4 Jun 2024 00:52:45 +0000 Subject: [PATCH] Deploy docs to develop by GitHub Actions triggered by 842ef861b9be41abbe92d6980ad7b1ab2327cbfb --- manual/develop/en/.buildinfo | 2 +- manual/develop/en/_modules/index.html | 2 +- .../en/_modules/physbo/blm/basis/fourier.html | 2 +- .../en/_modules/physbo/blm/core/model.html | 2 +- .../en/_modules/physbo/blm/inf/exact.html | 2 +- .../en/_modules/physbo/blm/lik/gauss.html | 2 +- .../en/_modules/physbo/blm/lik/linear.html | 2 +- .../en/_modules/physbo/blm/predictor.html | 2 +- .../en/_modules/physbo/blm/prior/gauss.html | 2 +- .../en/_modules/physbo/gp/core/learning.html | 2 +- .../en/_modules/physbo/gp/core/model.html | 2 +- .../en/_modules/physbo/gp/core/prior.html | 2 +- .../en/_modules/physbo/gp/cov/gauss.html | 2 +- .../en/_modules/physbo/gp/inf/exact.html | 2 +- .../en/_modules/physbo/gp/lik/gauss.html | 2 +- .../en/_modules/physbo/gp/mean/const.html | 2 +- .../en/_modules/physbo/gp/mean/zero.html | 2 +- .../en/_modules/physbo/gp/predictor.html | 2 +- .../en/_modules/physbo/misc/centering.html | 2 +- .../en/_modules/physbo/misc/gauss_elim.html | 2 +- .../en/_modules/physbo/misc/set_config.html | 2 +- .../develop/en/_modules/physbo/opt/adam.html | 2 +- .../develop/en/_modules/physbo/predictor.html | 2 +- .../physbo/search/discrete/policy.html | 2 +- .../physbo/search/discrete/results.html | 2 +- .../physbo/search/discrete_multi/policy.html | 2 +- .../physbo/search/discrete_multi/results.html | 2 +- .../en/_modules/physbo/search/pareto.html | 2 +- .../en/_modules/physbo/search/score.html | 2 +- .../_modules/physbo/search/score_multi.html | 2 +- .../en/_modules/physbo/search/utility.html | 2 +- .../develop/en/_modules/physbo/variable.html | 2 +- manual/develop/en/_static/basic.css | 2 +- manual/develop/en/_static/doctools.js | 2 +- manual/develop/en/_static/language_data.js | 4 +- manual/develop/en/_static/searchtools.js | 165 +++++++++++------- manual/develop/en/acknowledgement.html | 2 +- manual/develop/en/algorithm.html | 2 +- manual/develop/en/api/modules.html | 2 +- .../en/api/physbo.blm.basis.fourier.html | 2 +- manual/develop/en/api/physbo.blm.basis.html | 2 +- manual/develop/en/api/physbo.blm.core.html | 2 +- .../develop/en/api/physbo.blm.core.model.html | 2 +- manual/develop/en/api/physbo.blm.html | 2 +- .../develop/en/api/physbo.blm.inf.exact.html | 8 +- manual/develop/en/api/physbo.blm.inf.html | 2 +- .../develop/en/api/physbo.blm.lik.gauss.html | 2 +- manual/develop/en/api/physbo.blm.lik.html | 2 +- .../develop/en/api/physbo.blm.lik.linear.html | 6 +- .../develop/en/api/physbo.blm.predictor.html | 2 +- .../en/api/physbo.blm.prior.gauss.html | 2 +- manual/develop/en/api/physbo.blm.prior.html | 2 +- manual/develop/en/api/physbo.gp.core.html | 2 +- .../en/api/physbo.gp.core.learning.html | 2 +- .../develop/en/api/physbo.gp.core.model.html | 4 +- .../develop/en/api/physbo.gp.core.prior.html | 4 +- .../develop/en/api/physbo.gp.cov.gauss.html | 8 +- manual/develop/en/api/physbo.gp.cov.html | 2 +- manual/develop/en/api/physbo.gp.html | 2 +- .../develop/en/api/physbo.gp.inf.exact.html | 12 +- manual/develop/en/api/physbo.gp.inf.html | 2 +- .../develop/en/api/physbo.gp.lik.gauss.html | 8 +- manual/develop/en/api/physbo.gp.lik.html | 2 +- .../develop/en/api/physbo.gp.mean.const.html | 2 +- manual/develop/en/api/physbo.gp.mean.html | 2 +- .../develop/en/api/physbo.gp.mean.zero.html | 4 +- .../develop/en/api/physbo.gp.predictor.html | 18 +- manual/develop/en/api/physbo.html | 2 +- .../develop/en/api/physbo.misc.centering.html | 2 +- .../en/api/physbo.misc.gauss_elim.html | 8 +- manual/develop/en/api/physbo.misc.html | 2 +- .../en/api/physbo.misc.set_config.html | 18 +- manual/develop/en/api/physbo.opt.adam.html | 2 +- manual/develop/en/api/physbo.opt.html | 2 +- manual/develop/en/api/physbo.predictor.html | 46 ++--- .../en/api/physbo.search.discrete.html | 2 +- .../en/api/physbo.search.discrete.policy.html | 4 +- .../api/physbo.search.discrete.results.html | 2 +- .../en/api/physbo.search.discrete_multi.html | 2 +- .../physbo.search.discrete_multi.policy.html | 2 +- .../physbo.search.discrete_multi.results.html | 2 +- manual/develop/en/api/physbo.search.html | 2 +- .../develop/en/api/physbo.search.pareto.html | 2 +- .../develop/en/api/physbo.search.score.html | 2 +- .../en/api/physbo.search.score_multi.html | 2 +- .../develop/en/api/physbo.search.utility.html | 2 +- manual/develop/en/api/physbo.variable.html | 6 +- manual/develop/en/contact.html | 2 +- manual/develop/en/genindex.html | 2 +- manual/develop/en/index.html | 4 +- manual/develop/en/install.html | 2 +- manual/develop/en/introduction.html | 2 +- manual/develop/en/notebook/index.html | 4 +- .../notebook/tutorial_Gaussian_process.html | 2 +- .../develop/en/notebook/tutorial_basic.html | 2 +- .../en/notebook/tutorial_basic_org.html | 2 +- .../notebook/tutorial_interactive_mode.html | 2 +- .../en/notebook/tutorial_multi_objective.html | 2 +- .../en/notebook/tutorial_multi_probe.html | 2 +- .../en/notebook/tutorial_once_mode.html | 2 +- manual/develop/en/py-modindex.html | 2 +- manual/develop/en/search.html | 2 +- manual/develop/en/searchindex.js | 2 +- manual/develop/ja/.buildinfo | 2 +- manual/develop/ja/_modules/index.html | 2 +- .../ja/_modules/physbo/blm/basis/fourier.html | 2 +- .../ja/_modules/physbo/blm/core/model.html | 2 +- .../ja/_modules/physbo/blm/inf/exact.html | 2 +- .../ja/_modules/physbo/blm/lik/gauss.html | 2 +- .../ja/_modules/physbo/blm/lik/linear.html | 2 +- .../ja/_modules/physbo/blm/predictor.html | 2 +- .../ja/_modules/physbo/blm/prior/gauss.html | 2 +- .../ja/_modules/physbo/gp/core/learning.html | 2 +- .../ja/_modules/physbo/gp/core/model.html | 2 +- .../ja/_modules/physbo/gp/core/prior.html | 2 +- .../ja/_modules/physbo/gp/cov/gauss.html | 2 +- .../ja/_modules/physbo/gp/inf/exact.html | 2 +- .../ja/_modules/physbo/gp/lik/gauss.html | 2 +- .../ja/_modules/physbo/gp/mean/const.html | 2 +- .../ja/_modules/physbo/gp/mean/zero.html | 2 +- .../ja/_modules/physbo/gp/predictor.html | 2 +- .../ja/_modules/physbo/misc/centering.html | 2 +- .../ja/_modules/physbo/misc/gauss_elim.html | 2 +- .../ja/_modules/physbo/misc/set_config.html | 2 +- .../develop/ja/_modules/physbo/opt/adam.html | 2 +- .../develop/ja/_modules/physbo/predictor.html | 2 +- .../physbo/search/discrete/policy.html | 2 +- .../physbo/search/discrete/results.html | 2 +- .../physbo/search/discrete_multi/policy.html | 2 +- .../physbo/search/discrete_multi/results.html | 2 +- .../ja/_modules/physbo/search/pareto.html | 2 +- .../ja/_modules/physbo/search/score.html | 2 +- .../_modules/physbo/search/score_multi.html | 2 +- .../ja/_modules/physbo/search/utility.html | 2 +- .../develop/ja/_modules/physbo/variable.html | 2 +- manual/develop/ja/_static/basic.css | 2 +- manual/develop/ja/_static/doctools.js | 2 +- manual/develop/ja/_static/language_data.js | 4 +- manual/develop/ja/_static/searchtools.js | 165 +++++++++++------- manual/develop/ja/acknowledgement.html | 2 +- manual/develop/ja/algorithm.html | 2 +- manual/develop/ja/api/modules.html | 2 +- .../ja/api/physbo.blm.basis.fourier.html | 2 +- manual/develop/ja/api/physbo.blm.basis.html | 2 +- manual/develop/ja/api/physbo.blm.core.html | 2 +- .../develop/ja/api/physbo.blm.core.model.html | 2 +- manual/develop/ja/api/physbo.blm.html | 2 +- .../develop/ja/api/physbo.blm.inf.exact.html | 8 +- manual/develop/ja/api/physbo.blm.inf.html | 2 +- .../develop/ja/api/physbo.blm.lik.gauss.html | 2 +- manual/develop/ja/api/physbo.blm.lik.html | 2 +- .../develop/ja/api/physbo.blm.lik.linear.html | 6 +- .../develop/ja/api/physbo.blm.predictor.html | 2 +- .../ja/api/physbo.blm.prior.gauss.html | 2 +- manual/develop/ja/api/physbo.blm.prior.html | 2 +- manual/develop/ja/api/physbo.gp.core.html | 2 +- .../ja/api/physbo.gp.core.learning.html | 2 +- .../develop/ja/api/physbo.gp.core.model.html | 4 +- .../develop/ja/api/physbo.gp.core.prior.html | 4 +- .../develop/ja/api/physbo.gp.cov.gauss.html | 8 +- manual/develop/ja/api/physbo.gp.cov.html | 2 +- manual/develop/ja/api/physbo.gp.html | 2 +- .../develop/ja/api/physbo.gp.inf.exact.html | 12 +- manual/develop/ja/api/physbo.gp.inf.html | 2 +- .../develop/ja/api/physbo.gp.lik.gauss.html | 8 +- manual/develop/ja/api/physbo.gp.lik.html | 2 +- .../develop/ja/api/physbo.gp.mean.const.html | 2 +- manual/develop/ja/api/physbo.gp.mean.html | 2 +- .../develop/ja/api/physbo.gp.mean.zero.html | 4 +- .../develop/ja/api/physbo.gp.predictor.html | 18 +- manual/develop/ja/api/physbo.html | 2 +- .../develop/ja/api/physbo.misc.centering.html | 2 +- .../ja/api/physbo.misc.gauss_elim.html | 8 +- manual/develop/ja/api/physbo.misc.html | 2 +- .../ja/api/physbo.misc.set_config.html | 18 +- manual/develop/ja/api/physbo.opt.adam.html | 2 +- manual/develop/ja/api/physbo.opt.html | 2 +- manual/develop/ja/api/physbo.predictor.html | 46 ++--- .../ja/api/physbo.search.discrete.html | 2 +- .../ja/api/physbo.search.discrete.policy.html | 4 +- .../api/physbo.search.discrete.results.html | 2 +- .../ja/api/physbo.search.discrete_multi.html | 2 +- .../physbo.search.discrete_multi.policy.html | 2 +- .../physbo.search.discrete_multi.results.html | 2 +- manual/develop/ja/api/physbo.search.html | 2 +- .../develop/ja/api/physbo.search.pareto.html | 2 +- .../develop/ja/api/physbo.search.score.html | 2 +- .../ja/api/physbo.search.score_multi.html | 2 +- .../develop/ja/api/physbo.search.utility.html | 2 +- manual/develop/ja/api/physbo.variable.html | 6 +- manual/develop/ja/contact.html | 2 +- manual/develop/ja/genindex.html | 2 +- manual/develop/ja/index.html | 4 +- manual/develop/ja/install.html | 2 +- manual/develop/ja/introduction.html | 2 +- manual/develop/ja/notebook/index.html | 4 +- .../notebook/tutorial_Gaussian_process.html | 2 +- .../develop/ja/notebook/tutorial_basic.html | 2 +- .../notebook/tutorial_interactive_mode.html | 2 +- .../ja/notebook/tutorial_multi_objective.html | 2 +- .../ja/notebook/tutorial_multi_probe.html | 2 +- .../ja/notebook/tutorial_once_mode.html | 2 +- .../ja/notebook/tutorial_simulator.html | 2 +- manual/develop/ja/py-modindex.html | 2 +- manual/develop/ja/search.html | 2 +- manual/develop/ja/searchindex.js | 2 +- 206 files changed, 550 insertions(+), 452 deletions(-) diff --git a/manual/develop/en/.buildinfo b/manual/develop/en/.buildinfo index 13933b44..44fcd1b8 100644 --- a/manual/develop/en/.buildinfo +++ b/manual/develop/en/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 3acbb30cac794629572a38a5d72c4acc +config: 8067de4eb047a8eb67e8de57bc94a591 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/manual/develop/en/_modules/index.html b/manual/develop/en/_modules/index.html index b32c94d8..df1cdfb4 100644 --- a/manual/develop/en/_modules/index.html +++ b/manual/develop/en/_modules/index.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/blm/basis/fourier.html b/manual/develop/en/_modules/physbo/blm/basis/fourier.html index eb18c9af..c08d3003 100644 --- a/manual/develop/en/_modules/physbo/blm/basis/fourier.html +++ b/manual/develop/en/_modules/physbo/blm/basis/fourier.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/blm/core/model.html b/manual/develop/en/_modules/physbo/blm/core/model.html index 87010757..afb5aa29 100644 --- a/manual/develop/en/_modules/physbo/blm/core/model.html +++ b/manual/develop/en/_modules/physbo/blm/core/model.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/blm/inf/exact.html b/manual/develop/en/_modules/physbo/blm/inf/exact.html index ea72d3ed..ba9347ac 100644 --- a/manual/develop/en/_modules/physbo/blm/inf/exact.html +++ b/manual/develop/en/_modules/physbo/blm/inf/exact.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/blm/lik/gauss.html b/manual/develop/en/_modules/physbo/blm/lik/gauss.html index 1e1f9ef3..8ed39380 100644 --- a/manual/develop/en/_modules/physbo/blm/lik/gauss.html +++ b/manual/develop/en/_modules/physbo/blm/lik/gauss.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/blm/lik/linear.html b/manual/develop/en/_modules/physbo/blm/lik/linear.html index 0d3e5f14..07e72a9e 100644 --- a/manual/develop/en/_modules/physbo/blm/lik/linear.html +++ b/manual/develop/en/_modules/physbo/blm/lik/linear.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/blm/predictor.html b/manual/develop/en/_modules/physbo/blm/predictor.html index a03a2b7a..44dab176 100644 --- a/manual/develop/en/_modules/physbo/blm/predictor.html +++ b/manual/develop/en/_modules/physbo/blm/predictor.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/blm/prior/gauss.html b/manual/develop/en/_modules/physbo/blm/prior/gauss.html index 4414208a..97f8bf9a 100644 --- a/manual/develop/en/_modules/physbo/blm/prior/gauss.html +++ b/manual/develop/en/_modules/physbo/blm/prior/gauss.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/gp/core/learning.html b/manual/develop/en/_modules/physbo/gp/core/learning.html index 3d6c5cef..8db3268b 100644 --- a/manual/develop/en/_modules/physbo/gp/core/learning.html +++ b/manual/develop/en/_modules/physbo/gp/core/learning.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/gp/core/model.html b/manual/develop/en/_modules/physbo/gp/core/model.html index 5a9b13ce..9b257de8 100644 --- a/manual/develop/en/_modules/physbo/gp/core/model.html +++ b/manual/develop/en/_modules/physbo/gp/core/model.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/gp/core/prior.html b/manual/develop/en/_modules/physbo/gp/core/prior.html index c65007b3..355ee7dc 100644 --- a/manual/develop/en/_modules/physbo/gp/core/prior.html +++ b/manual/develop/en/_modules/physbo/gp/core/prior.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/gp/cov/gauss.html b/manual/develop/en/_modules/physbo/gp/cov/gauss.html index 30cfbbff..1e6ac635 100644 --- a/manual/develop/en/_modules/physbo/gp/cov/gauss.html +++ b/manual/develop/en/_modules/physbo/gp/cov/gauss.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/gp/inf/exact.html b/manual/develop/en/_modules/physbo/gp/inf/exact.html index d165545f..64a1d927 100644 --- a/manual/develop/en/_modules/physbo/gp/inf/exact.html +++ b/manual/develop/en/_modules/physbo/gp/inf/exact.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/gp/lik/gauss.html b/manual/develop/en/_modules/physbo/gp/lik/gauss.html index 2d0c0a0b..7755d8f3 100644 --- a/manual/develop/en/_modules/physbo/gp/lik/gauss.html +++ b/manual/develop/en/_modules/physbo/gp/lik/gauss.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/gp/mean/const.html b/manual/develop/en/_modules/physbo/gp/mean/const.html index 8c78f0a1..7a16c441 100644 --- a/manual/develop/en/_modules/physbo/gp/mean/const.html +++ b/manual/develop/en/_modules/physbo/gp/mean/const.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/gp/mean/zero.html b/manual/develop/en/_modules/physbo/gp/mean/zero.html index 31bda1de..f412583b 100644 --- a/manual/develop/en/_modules/physbo/gp/mean/zero.html +++ b/manual/develop/en/_modules/physbo/gp/mean/zero.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/gp/predictor.html b/manual/develop/en/_modules/physbo/gp/predictor.html index 1ad9d88b..fdff25d5 100644 --- a/manual/develop/en/_modules/physbo/gp/predictor.html +++ b/manual/develop/en/_modules/physbo/gp/predictor.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/misc/centering.html b/manual/develop/en/_modules/physbo/misc/centering.html index ae1d90c7..72195734 100644 --- a/manual/develop/en/_modules/physbo/misc/centering.html +++ b/manual/develop/en/_modules/physbo/misc/centering.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/misc/gauss_elim.html b/manual/develop/en/_modules/physbo/misc/gauss_elim.html index 7e2976cd..c80df1d5 100644 --- a/manual/develop/en/_modules/physbo/misc/gauss_elim.html +++ b/manual/develop/en/_modules/physbo/misc/gauss_elim.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/misc/set_config.html b/manual/develop/en/_modules/physbo/misc/set_config.html index cd94bb5b..3105cd10 100644 --- a/manual/develop/en/_modules/physbo/misc/set_config.html +++ b/manual/develop/en/_modules/physbo/misc/set_config.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/opt/adam.html b/manual/develop/en/_modules/physbo/opt/adam.html index 21a58419..497447f8 100644 --- a/manual/develop/en/_modules/physbo/opt/adam.html +++ b/manual/develop/en/_modules/physbo/opt/adam.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/predictor.html b/manual/develop/en/_modules/physbo/predictor.html index 0c340800..b30b8cb0 100644 --- a/manual/develop/en/_modules/physbo/predictor.html +++ b/manual/develop/en/_modules/physbo/predictor.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/search/discrete/policy.html b/manual/develop/en/_modules/physbo/search/discrete/policy.html index 8bcd6f0e..dd58c776 100644 --- a/manual/develop/en/_modules/physbo/search/discrete/policy.html +++ b/manual/develop/en/_modules/physbo/search/discrete/policy.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/search/discrete/results.html b/manual/develop/en/_modules/physbo/search/discrete/results.html index 98ab0020..1b76a9c0 100644 --- a/manual/develop/en/_modules/physbo/search/discrete/results.html +++ b/manual/develop/en/_modules/physbo/search/discrete/results.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/search/discrete_multi/policy.html b/manual/develop/en/_modules/physbo/search/discrete_multi/policy.html index ca4d50b4..fba16dd9 100644 --- a/manual/develop/en/_modules/physbo/search/discrete_multi/policy.html +++ b/manual/develop/en/_modules/physbo/search/discrete_multi/policy.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/search/discrete_multi/results.html b/manual/develop/en/_modules/physbo/search/discrete_multi/results.html index fab1ccd4..3424fd1c 100644 --- a/manual/develop/en/_modules/physbo/search/discrete_multi/results.html +++ b/manual/develop/en/_modules/physbo/search/discrete_multi/results.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/search/pareto.html b/manual/develop/en/_modules/physbo/search/pareto.html index a8e7ce57..cdd6cf97 100644 --- a/manual/develop/en/_modules/physbo/search/pareto.html +++ b/manual/develop/en/_modules/physbo/search/pareto.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/search/score.html b/manual/develop/en/_modules/physbo/search/score.html index 1d8c4282..c6c380f9 100644 --- a/manual/develop/en/_modules/physbo/search/score.html +++ b/manual/develop/en/_modules/physbo/search/score.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/search/score_multi.html b/manual/develop/en/_modules/physbo/search/score_multi.html index 275ceb32..cf2ee642 100644 --- a/manual/develop/en/_modules/physbo/search/score_multi.html +++ b/manual/develop/en/_modules/physbo/search/score_multi.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/search/utility.html b/manual/develop/en/_modules/physbo/search/utility.html index 1c66f472..5a9f3a9b 100644 --- a/manual/develop/en/_modules/physbo/search/utility.html +++ b/manual/develop/en/_modules/physbo/search/utility.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_modules/physbo/variable.html b/manual/develop/en/_modules/physbo/variable.html index 3bc14db9..f8472899 100644 --- a/manual/develop/en/_modules/physbo/variable.html +++ b/manual/develop/en/_modules/physbo/variable.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/_static/basic.css b/manual/develop/en/_static/basic.css index 30fee9d0..f316efcb 100644 --- a/manual/develop/en/_static/basic.css +++ b/manual/develop/en/_static/basic.css @@ -4,7 +4,7 @@ * * Sphinx stylesheet -- basic theme. * - * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ diff --git a/manual/develop/en/_static/doctools.js b/manual/develop/en/_static/doctools.js index d06a71d7..4d67807d 100644 --- a/manual/develop/en/_static/doctools.js +++ b/manual/develop/en/_static/doctools.js @@ -4,7 +4,7 @@ * * Base JavaScript utilities for all Sphinx HTML documentation. * - * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ diff --git a/manual/develop/en/_static/language_data.js b/manual/develop/en/_static/language_data.js index 250f5665..367b8ed8 100644 --- a/manual/develop/en/_static/language_data.js +++ b/manual/develop/en/_static/language_data.js @@ -5,7 +5,7 @@ * This script contains the language-specific data used by searchtools.js, * namely the list of stopwords, stemmer, scorer and splitter. * - * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -13,7 +13,7 @@ var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"]; -/* Non-minified version is copied as a separate JS file, is available */ +/* Non-minified version is copied as a separate JS file, if available */ /** * Porter Stemmer diff --git a/manual/develop/en/_static/searchtools.js b/manual/develop/en/_static/searchtools.js index 7918c3fa..92da3f8b 100644 --- a/manual/develop/en/_static/searchtools.js +++ b/manual/develop/en/_static/searchtools.js @@ -4,7 +4,7 @@ * * Sphinx JavaScript utilities for the full-text search. * - * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -99,7 +99,7 @@ const _displayItem = (item, searchTerms, highlightTerms) => { .then((data) => { if (data) listItem.appendChild( - Search.makeSearchSummary(data, searchTerms) + Search.makeSearchSummary(data, searchTerms, anchor) ); // highlight search terms in the summary if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js @@ -116,8 +116,8 @@ const _finishSearch = (resultCount) => { ); else Search.status.innerText = _( - `Search finished, found ${resultCount} page(s) matching the search query.` - ); + "Search finished, found ${resultCount} page(s) matching the search query." + ).replace('${resultCount}', resultCount); }; const _displayNextItem = ( results, @@ -137,6 +137,22 @@ const _displayNextItem = ( // search finished, update title and status message else _finishSearch(resultCount); }; +// Helper function used by query() to order search results. +// Each input is an array of [docname, title, anchor, descr, score, filename]. +// Order the results by score (in opposite order of appearance, since the +// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically. +const _orderResultsByScoreThenName = (a, b) => { + const leftScore = a[4]; + const rightScore = b[4]; + if (leftScore === rightScore) { + // same score: sort alphabetically + const leftTitle = a[1].toLowerCase(); + const rightTitle = b[1].toLowerCase(); + if (leftTitle === rightTitle) return 0; + return leftTitle > rightTitle ? -1 : 1; // inverted is intentional + } + return leftScore > rightScore ? 1 : -1; +}; /** * Default splitQuery function. Can be overridden in ``sphinx.search`` with a @@ -160,13 +176,26 @@ const Search = { _queued_query: null, _pulse_status: -1, - htmlToText: (htmlString) => { + htmlToText: (htmlString, anchor) => { const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html'); - htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() }); + for (const removalQuery of [".headerlinks", "script", "style"]) { + htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() }); + } + if (anchor) { + const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`); + if (anchorContent) return anchorContent.textContent; + + console.warn( + `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.` + ); + } + + // if anchor not specified or not found, fall back to main content const docContent = htmlElement.querySelector('[role="main"]'); - if (docContent !== undefined) return docContent.textContent; + if (docContent) return docContent.textContent; + console.warn( - "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template." + "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template." ); return ""; }, @@ -239,16 +268,7 @@ const Search = { else Search.deferQuery(query); }, - /** - * execute search (requires search index to be loaded) - */ - query: (query) => { - const filenames = Search._index.filenames; - const docNames = Search._index.docnames; - const titles = Search._index.titles; - const allTitles = Search._index.alltitles; - const indexEntries = Search._index.indexentries; - + _parseQuery: (query) => { // stem the search terms and add them to the correct list const stemmer = new Stemmer(); const searchTerms = new Set(); @@ -284,16 +304,32 @@ const Search = { // console.info("required: ", [...searchTerms]); // console.info("excluded: ", [...excludedTerms]); - // array of [docname, title, anchor, descr, score, filename] - let results = []; + return [query, searchTerms, excludedTerms, highlightTerms, objectTerms]; + }, + + /** + * execute search (requires search index to be loaded) + */ + _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + const allTitles = Search._index.alltitles; + const indexEntries = Search._index.indexentries; + + // Collect multiple result groups to be sorted separately and then ordered. + // Each is an array of [docname, title, anchor, descr, score, filename]. + const normalResults = []; + const nonMainIndexResults = []; + _removeChildren(document.getElementById("search-progress")); - const queryLower = query.toLowerCase(); + const queryLower = query.toLowerCase().trim(); for (const [title, foundTitles] of Object.entries(allTitles)) { - if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) { + if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) { for (const [file, id] of foundTitles) { let score = Math.round(100 * queryLower.length / title.length) - results.push([ + normalResults.push([ docNames[file], titles[file] !== title ? `${titles[file]} > ${title}` : title, id !== null ? "#" + id : "", @@ -308,46 +344,47 @@ const Search = { // search for explicit entries in index directives for (const [entry, foundEntries] of Object.entries(indexEntries)) { if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) { - for (const [file, id] of foundEntries) { - let score = Math.round(100 * queryLower.length / entry.length) - results.push([ + for (const [file, id, isMain] of foundEntries) { + const score = Math.round(100 * queryLower.length / entry.length); + const result = [ docNames[file], titles[file], id ? "#" + id : "", null, score, filenames[file], - ]); + ]; + if (isMain) { + normalResults.push(result); + } else { + nonMainIndexResults.push(result); + } } } } // lookup as object objectTerms.forEach((term) => - results.push(...Search.performObjectSearch(term, objectTerms)) + normalResults.push(...Search.performObjectSearch(term, objectTerms)) ); // lookup as search terms in fulltext - results.push(...Search.performTermsSearch(searchTerms, excludedTerms)); + normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms)); // let the scorer override scores with a custom scoring function - if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item))); - - // now sort the results by score (in opposite order of appearance, since the - // display function below uses pop() to retrieve items) and then - // alphabetically - results.sort((a, b) => { - const leftScore = a[4]; - const rightScore = b[4]; - if (leftScore === rightScore) { - // same score: sort alphabetically - const leftTitle = a[1].toLowerCase(); - const rightTitle = b[1].toLowerCase(); - if (leftTitle === rightTitle) return 0; - return leftTitle > rightTitle ? -1 : 1; // inverted is intentional - } - return leftScore > rightScore ? 1 : -1; - }); + if (Scorer.score) { + normalResults.forEach((item) => (item[4] = Scorer.score(item))); + nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item))); + } + + // Sort each group of results by score and then alphabetically by name. + normalResults.sort(_orderResultsByScoreThenName); + nonMainIndexResults.sort(_orderResultsByScoreThenName); + + // Combine the result groups in (reverse) order. + // Non-main index entries are typically arbitrary cross-references, + // so display them after other results. + let results = [...nonMainIndexResults, ...normalResults]; // remove duplicate search results // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept @@ -361,7 +398,12 @@ const Search = { return acc; }, []); - results = results.reverse(); + return results.reverse(); + }, + + query: (query) => { + const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query); + const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms); // for debugging //Search.lastresults = results.slice(); // a copy @@ -466,14 +508,18 @@ const Search = { // add support for partial matches if (word.length > 2) { const escapedWord = _escapeRegExp(word); - Object.keys(terms).forEach((term) => { - if (term.match(escapedWord) && !terms[word]) - arr.push({ files: terms[term], score: Scorer.partialTerm }); - }); - Object.keys(titleTerms).forEach((term) => { - if (term.match(escapedWord) && !titleTerms[word]) - arr.push({ files: titleTerms[word], score: Scorer.partialTitle }); - }); + if (!terms.hasOwnProperty(word)) { + Object.keys(terms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: terms[term], score: Scorer.partialTerm }); + }); + } + if (!titleTerms.hasOwnProperty(word)) { + Object.keys(titleTerms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: titleTerms[term], score: Scorer.partialTitle }); + }); + } } // no match but word was a required one @@ -496,9 +542,8 @@ const Search = { // create the mapping files.forEach((file) => { - if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1) - fileMap.get(file).push(word); - else fileMap.set(file, [word]); + if (!fileMap.has(file)) fileMap.set(file, [word]); + else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word); }); }); @@ -549,8 +594,8 @@ const Search = { * search summary for a given text. keywords is a list * of stemmed words. */ - makeSearchSummary: (htmlText, keywords) => { - const text = Search.htmlToText(htmlText); + makeSearchSummary: (htmlText, keywords, anchor) => { + const text = Search.htmlToText(htmlText, anchor); if (text === "") return null; const textLower = text.toLowerCase(); diff --git a/manual/develop/en/acknowledgement.html b/manual/develop/en/acknowledgement.html index 6731ba65..1f281820 100644 --- a/manual/develop/en/acknowledgement.html +++ b/manual/develop/en/acknowledgement.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/algorithm.html b/manual/develop/en/algorithm.html index 1bac4b5d..e4372eda 100644 --- a/manual/develop/en/algorithm.html +++ b/manual/develop/en/algorithm.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/modules.html b/manual/develop/en/api/modules.html index 9c94128a..b5808c0a 100644 --- a/manual/develop/en/api/modules.html +++ b/manual/develop/en/api/modules.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.basis.fourier.html b/manual/develop/en/api/physbo.blm.basis.fourier.html index 45c1abe8..50ef3211 100644 --- a/manual/develop/en/api/physbo.blm.basis.fourier.html +++ b/manual/develop/en/api/physbo.blm.basis.fourier.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.basis.html b/manual/develop/en/api/physbo.blm.basis.html index 1569d5fc..0c8d727e 100644 --- a/manual/develop/en/api/physbo.blm.basis.html +++ b/manual/develop/en/api/physbo.blm.basis.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.core.html b/manual/develop/en/api/physbo.blm.core.html index 2f0ef770..c2e1877a 100644 --- a/manual/develop/en/api/physbo.blm.core.html +++ b/manual/develop/en/api/physbo.blm.core.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.core.model.html b/manual/develop/en/api/physbo.blm.core.model.html index ff3c8b7f..746d1cc7 100644 --- a/manual/develop/en/api/physbo.blm.core.model.html +++ b/manual/develop/en/api/physbo.blm.core.model.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.html b/manual/develop/en/api/physbo.blm.html index bf2b3560..50c9d14b 100644 --- a/manual/develop/en/api/physbo.blm.html +++ b/manual/develop/en/api/physbo.blm.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.inf.exact.html b/manual/develop/en/api/physbo.blm.inf.exact.html index 40c76dc7..d655be81 100644 --- a/manual/develop/en/api/physbo.blm.inf.exact.html +++ b/manual/develop/en/api/physbo.blm.inf.exact.html @@ -16,7 +16,7 @@ - + @@ -112,7 +112,7 @@
Parameters:
    -

  • blm (physbo.blm.core.model) –

    • +

  • blm (physbo.blm.core.model)

  • X (numpy.ndarray) – inputs

  • Psi (numpy.ndarray) – feature maps (default: blm.lik.linear.basis.get_basis(X))

    • @@ -133,7 +133,7 @@
    Parameters:
      -

    • blm (physbo.blm.core.model) –

      • +

    • blm (physbo.blm.core.model)

    • X (numpy.ndarray) – inputs

    • Psi (numpy.ndarray) – feature maps (default: blm.lik.linear.basis.get_basis(X))

      • @@ -153,7 +153,7 @@

      calculates mean of weight

      Parameters:
      -

      blm (physbo.blm.core.model) –

      +

      blm (physbo.blm.core.model)

      Return type:

      numpy.ndarray

      diff --git a/manual/develop/en/api/physbo.blm.inf.html b/manual/develop/en/api/physbo.blm.inf.html index 3648d408..d26ce245 100644 --- a/manual/develop/en/api/physbo.blm.inf.html +++ b/manual/develop/en/api/physbo.blm.inf.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.lik.gauss.html b/manual/develop/en/api/physbo.blm.lik.gauss.html index b26a3315..c4a9593f 100644 --- a/manual/develop/en/api/physbo.blm.lik.gauss.html +++ b/manual/develop/en/api/physbo.blm.lik.gauss.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.lik.html b/manual/develop/en/api/physbo.blm.lik.html index 6b3b3887..90960f86 100644 --- a/manual/develop/en/api/physbo.blm.lik.html +++ b/manual/develop/en/api/physbo.blm.lik.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.lik.linear.html b/manual/develop/en/api/physbo.blm.lik.linear.html index 4d292747..e51cbc6e 100644 --- a/manual/develop/en/api/physbo.blm.lik.linear.html +++ b/manual/develop/en/api/physbo.blm.lik.linear.html @@ -16,7 +16,7 @@ - + @@ -172,7 +172,7 @@

      set bias

      Parameters:
      -

      bias (float) –

      +

      bias (float)

      @@ -183,7 +183,7 @@

      set parameters

      Parameters:
      -

      params (np.ndarray) –

      +

      params (np.ndarray)

    diff --git a/manual/develop/en/api/physbo.blm.predictor.html b/manual/develop/en/api/physbo.blm.predictor.html index dc8f27b7..f32f01c7 100644 --- a/manual/develop/en/api/physbo.blm.predictor.html +++ b/manual/develop/en/api/physbo.blm.predictor.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.prior.gauss.html b/manual/develop/en/api/physbo.blm.prior.gauss.html index a033eae7..596eb79a 100644 --- a/manual/develop/en/api/physbo.blm.prior.gauss.html +++ b/manual/develop/en/api/physbo.blm.prior.gauss.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.blm.prior.html b/manual/develop/en/api/physbo.blm.prior.html index a722e659..ef6dcdfb 100644 --- a/manual/develop/en/api/physbo.blm.prior.html +++ b/manual/develop/en/api/physbo.blm.prior.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.gp.core.html b/manual/develop/en/api/physbo.gp.core.html index 74815378..956232cc 100644 --- a/manual/develop/en/api/physbo.gp.core.html +++ b/manual/develop/en/api/physbo.gp.core.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.gp.core.learning.html b/manual/develop/en/api/physbo.gp.core.learning.html index ba465719..952d510b 100644 --- a/manual/develop/en/api/physbo.gp.core.learning.html +++ b/manual/develop/en/api/physbo.gp.core.learning.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.gp.core.model.html b/manual/develop/en/api/physbo.gp.core.model.html index afc58b65..cb76d607 100644 --- a/manual/develop/en/api/physbo.gp.core.model.html +++ b/manual/develop/en/api/physbo.gp.core.model.html @@ -16,7 +16,7 @@ - + @@ -195,7 +195,7 @@

  • X (numpy.ndarray) – N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

  • t (numpy.ndarray) – N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

    • -

  • config (physbo.misc.set_config object) –

    • +

  • config (physbo.misc.set_config object)

diff --git a/manual/develop/en/api/physbo.gp.core.prior.html b/manual/develop/en/api/physbo.gp.core.prior.html index 740b8832..eb0a61d5 100644 --- a/manual/develop/en/api/physbo.gp.core.prior.html +++ b/manual/develop/en/api/physbo.gp.core.prior.html @@ -16,7 +16,7 @@ - + @@ -222,7 +222,7 @@
Parameters:
Return type:
diff --git a/manual/develop/en/api/physbo.gp.cov.gauss.html b/manual/develop/en/api/physbo.gp.cov.gauss.html index a783a32d..934aadc0 100644 --- a/manual/develop/en/api/physbo.gp.cov.gauss.html +++ b/manual/develop/en/api/physbo.gp.cov.gauss.html @@ -16,7 +16,7 @@ - + @@ -118,8 +118,8 @@
Parameters:
    -

  • width (int) –

    • -

  • scale (int) –

    • +

  • width (int)

    • +

  • scale (int)

Returns:
@@ -201,7 +201,7 @@
Parameters:

  • X (numpy.ndarray) – N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

    • -

  • params (numpy.ndarray) –

    • +

  • params (numpy.ndarray)

Returns:
diff --git a/manual/develop/en/api/physbo.gp.cov.html b/manual/develop/en/api/physbo.gp.cov.html index c7e79127..b209851c 100644 --- a/manual/develop/en/api/physbo.gp.cov.html +++ b/manual/develop/en/api/physbo.gp.cov.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.gp.html b/manual/develop/en/api/physbo.gp.html index 8594feab..c48852bd 100644 --- a/manual/develop/en/api/physbo.gp.html +++ b/manual/develop/en/api/physbo.gp.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.gp.inf.exact.html b/manual/develop/en/api/physbo.gp.inf.exact.html index ac86f1ad..9f41a0eb 100644 --- a/manual/develop/en/api/physbo.gp.inf.exact.html +++ b/manual/develop/en/api/physbo.gp.inf.exact.html @@ -16,7 +16,7 @@ - + @@ -112,7 +112,7 @@
Parameters:
    -

  • gp (physbo.gp.core.model) –

    • +

  • gp (physbo.gp.core.model)

  • X (numpy.ndarray) – N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

  • t (numpy.ndarray) – N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

    • @@ -135,7 +135,7 @@
    Parameters:
      -

    • gp (physbo.gp.core.model) –

      • +

    • gp (physbo.gp.core.model)

    • X (numpy.ndarray) – N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

    • t (numpy.ndarray) – N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

      • @@ -158,7 +158,7 @@
      Parameters:
        -

      • gp (physbo.gp.core.model) –

        • +

      • gp (physbo.gp.core.model)

      • X (numpy.ndarray) – N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

      • Z (numpy.ndarray) – N x d dimensional matrix. Each row of Z denotes the d-dimensional feature vector of tests.

      • params (numpy.ndarray) – Parameters.

        • @@ -178,7 +178,7 @@
        Parameters:
          -

        • gp (physbo.gp.core.model) –

          • +

        • gp (physbo.gp.core.model)

        • X (numpy.ndarray) – N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

        • Z (numpy.ndarray) – N x d dimensional matrix. Each row of Z denotes the d-dimensional feature vector of tests.

        • params (numpy.ndarray) – Parameters.

          • @@ -196,7 +196,7 @@
          Parameters:
            -

          • gp (physbo.gp.core.model) –

            • +

          • gp (physbo.gp.core.model)

          • X (numpy.ndarray) – N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

          • t (numpy.ndarray) – N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

            • diff --git a/manual/develop/en/api/physbo.gp.inf.html b/manual/develop/en/api/physbo.gp.inf.html index 67a7305c..259eaa41 100644 --- a/manual/develop/en/api/physbo.gp.inf.html +++ b/manual/develop/en/api/physbo.gp.inf.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.gp.lik.gauss.html b/manual/develop/en/api/physbo.gp.lik.gauss.html index 72f9758d..d70f0178 100644 --- a/manual/develop/en/api/physbo.gp.lik.gauss.html +++ b/manual/develop/en/api/physbo.gp.lik.gauss.html @@ -16,7 +16,7 @@ - + @@ -134,7 +134,7 @@
            Parameters:
              -

            • num_data (int) –

              • +

            • num_data (int)

            • params (numpy.ndarray) – Parameters for optimization. Array of real elements of size (n,), where ‘n’ is the number of independent variables.

            @@ -155,7 +155,7 @@
            Parameters:
              -

            • num_data (int) –

              • +

            • num_data (int)

            • params (numpy.ndarray) – Parameters for optimization. Array of real elements of size (n,), where ‘n’ is the number of independent variables.

            @@ -189,7 +189,7 @@

            Sampling by adding noise

            Parameters:
            -

            fmean (numpy.ndarray) –

            +

            fmean (numpy.ndarray)

            diff --git a/manual/develop/en/api/physbo.gp.lik.html b/manual/develop/en/api/physbo.gp.lik.html index 4dc07adb..1d450d49 100644 --- a/manual/develop/en/api/physbo.gp.lik.html +++ b/manual/develop/en/api/physbo.gp.lik.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.gp.mean.const.html b/manual/develop/en/api/physbo.gp.mean.const.html index c02b0d7e..d39b273c 100644 --- a/manual/develop/en/api/physbo.gp.mean.const.html +++ b/manual/develop/en/api/physbo.gp.mean.const.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.gp.mean.html b/manual/develop/en/api/physbo.gp.mean.html index 7b4f9a18..6c31b209 100644 --- a/manual/develop/en/api/physbo.gp.mean.html +++ b/manual/develop/en/api/physbo.gp.mean.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.gp.mean.zero.html b/manual/develop/en/api/physbo.gp.mean.zero.html index d9a44f08..53040fb8 100644 --- a/manual/develop/en/api/physbo.gp.mean.zero.html +++ b/manual/develop/en/api/physbo.gp.mean.zero.html @@ -16,7 +16,7 @@ - + @@ -149,7 +149,7 @@

            Not defined

            Parameters:
            -

            params –

            +

            params

            diff --git a/manual/develop/en/api/physbo.gp.predictor.html b/manual/develop/en/api/physbo.gp.predictor.html index db141aeb..c16fa320 100644 --- a/manual/develop/en/api/physbo.gp.predictor.html +++ b/manual/develop/en/api/physbo.gp.predictor.html @@ -16,7 +16,7 @@ - + @@ -116,8 +116,8 @@
            Parameters:
              -

            • args –

              • -

            • kwds –

              • +

            • args

              • +

            • kwds

            @@ -143,8 +143,8 @@
            Parameters:
              -

            • args –

              • -

            • kwds –

              • +

            • args

              • +

            • kwds

            @@ -191,8 +191,8 @@
            Parameters:
              -

            • args –

              • -

            • kwds –

              • +

            • args

              • +

            • kwds

            @@ -254,8 +254,8 @@
            Parameters:
              -

            • args –

              • -

            • kwds –

              • +

            • args

              • +

            • kwds

            diff --git a/manual/develop/en/api/physbo.html b/manual/develop/en/api/physbo.html index ce00f229..2f70df5f 100644 --- a/manual/develop/en/api/physbo.html +++ b/manual/develop/en/api/physbo.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.misc.centering.html b/manual/develop/en/api/physbo.misc.centering.html index 7a910234..4b57afbc 100644 --- a/manual/develop/en/api/physbo.misc.centering.html +++ b/manual/develop/en/api/physbo.misc.centering.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.misc.gauss_elim.html b/manual/develop/en/api/physbo.misc.gauss_elim.html index f3ea2de4..e7539639 100644 --- a/manual/develop/en/api/physbo.misc.gauss_elim.html +++ b/manual/develop/en/api/physbo.misc.gauss_elim.html @@ -16,7 +16,7 @@ - + @@ -111,9 +111,9 @@
            Parameters:
              -

            • U ((M, M) array_like) –

              • -

            • matrix (A triangular) –

              • -

            • t ((M,) or (M, N) array_like) –

              • +

            • U ((M, M) array_like)

              • +

            • matrix (A triangular)

              • +

            • t ((M,) or (M, N) array_like)

            Returns:
            diff --git a/manual/develop/en/api/physbo.misc.html b/manual/develop/en/api/physbo.misc.html index 996bd2aa..99838631 100644 --- a/manual/develop/en/api/physbo.misc.html +++ b/manual/develop/en/api/physbo.misc.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.misc.set_config.html b/manual/develop/en/api/physbo.misc.set_config.html index 4427afdf..302688d5 100644 --- a/manual/develop/en/api/physbo.misc.set_config.html +++ b/manual/develop/en/api/physbo.misc.set_config.html @@ -16,7 +16,7 @@ - + @@ -113,7 +113,7 @@

            Loading information of configuration from config._sectoins[‘adam’].

            Parameters:
            -

            config (physbo.misc.set_config object) –

            +

            config (physbo.misc.set_config object)

            @@ -136,7 +136,7 @@

            Loading information of configuration from config._sectoins[‘batch’].

            Parameters:
            -

            config (physbo.misc.set_config object) –

            +

            config (physbo.misc.set_config object)

          @@ -155,7 +155,7 @@

          Return boolean.

          Parameters:
          -

          str (str or boolean) –

          +

          str (str or boolean)

          Return type:

          True or False

          @@ -173,7 +173,7 @@

          Loading information of configuration from config._sectoins[‘learning’].

          Parameters:
          -

          config (physbo.misc.set_config object) –

          +

          config (physbo.misc.set_config object)

          @@ -196,7 +196,7 @@

          Loading information of configuration from config._sectoins[‘online’].

          Parameters:
          -

          config (physbo.misc.set_config object) –

          +

          config (physbo.misc.set_config object)

        @@ -219,7 +219,7 @@

        Loading information of configuration from config._sectoins[‘search’].

        Parameters:
        -

        config (physbo.misc.set_config object) –

        +

        config (physbo.misc.set_config object)

      @@ -243,8 +243,8 @@
      Parameters:
        -

      • file_name (str) –

        • -

      • configuration. (An input file name of) –

        • +

      • file_name (str)

        • +

      • configuration. (An input file name of)

      diff --git a/manual/develop/en/api/physbo.opt.adam.html b/manual/develop/en/api/physbo.opt.adam.html index 5388704d..f19d093e 100644 --- a/manual/develop/en/api/physbo.opt.adam.html +++ b/manual/develop/en/api/physbo.opt.adam.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.opt.html b/manual/develop/en/api/physbo.opt.html index 4d46db46..222c16e1 100644 --- a/manual/develop/en/api/physbo.opt.html +++ b/manual/develop/en/api/physbo.opt.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.predictor.html b/manual/develop/en/api/physbo.predictor.html index 52f04b99..dabd2a20 100644 --- a/manual/develop/en/api/physbo.predictor.html +++ b/manual/develop/en/api/physbo.predictor.html @@ -16,7 +16,7 @@ - + @@ -111,8 +111,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -126,8 +126,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -141,8 +141,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -156,8 +156,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -171,8 +171,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -186,8 +186,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -201,8 +201,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -216,8 +216,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -231,8 +231,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -258,8 +258,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      @@ -285,8 +285,8 @@
      Parameters:
        -

      • args –

        • -

      • kwds –

        • +

      • args

        • +

      • kwds

      diff --git a/manual/develop/en/api/physbo.search.discrete.html b/manual/develop/en/api/physbo.search.discrete.html index a8ef8b7c..86d20ece 100644 --- a/manual/develop/en/api/physbo.search.discrete.html +++ b/manual/develop/en/api/physbo.search.discrete.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.search.discrete.policy.html b/manual/develop/en/api/physbo.search.discrete.policy.html index 33566741..028acca1 100644 --- a/manual/develop/en/api/physbo.search.discrete.policy.html +++ b/manual/develop/en/api/physbo.search.discrete.policy.html @@ -16,7 +16,7 @@ - + @@ -268,7 +268,7 @@
      Parameters:

      • seed (int) – seed number

        • -

      • ------- –

        • +

      • -------

    diff --git a/manual/develop/en/api/physbo.search.discrete.results.html b/manual/develop/en/api/physbo.search.discrete.results.html index b10fc266..0b8a1701 100644 --- a/manual/develop/en/api/physbo.search.discrete.results.html +++ b/manual/develop/en/api/physbo.search.discrete.results.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.search.discrete_multi.html b/manual/develop/en/api/physbo.search.discrete_multi.html index bc2a0b1b..eb3441aa 100644 --- a/manual/develop/en/api/physbo.search.discrete_multi.html +++ b/manual/develop/en/api/physbo.search.discrete_multi.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.search.discrete_multi.policy.html b/manual/develop/en/api/physbo.search.discrete_multi.policy.html index 3de4b937..5c21c709 100644 --- a/manual/develop/en/api/physbo.search.discrete_multi.policy.html +++ b/manual/develop/en/api/physbo.search.discrete_multi.policy.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.search.discrete_multi.results.html b/manual/develop/en/api/physbo.search.discrete_multi.results.html index 5b517f06..3fddf2d0 100644 --- a/manual/develop/en/api/physbo.search.discrete_multi.results.html +++ b/manual/develop/en/api/physbo.search.discrete_multi.results.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.search.html b/manual/develop/en/api/physbo.search.html index 6d7b4b71..4ffb904d 100644 --- a/manual/develop/en/api/physbo.search.html +++ b/manual/develop/en/api/physbo.search.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.search.pareto.html b/manual/develop/en/api/physbo.search.pareto.html index c70dd02d..4e3bdeba 100644 --- a/manual/develop/en/api/physbo.search.pareto.html +++ b/manual/develop/en/api/physbo.search.pareto.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.search.score.html b/manual/develop/en/api/physbo.search.score.html index 4877b653..ed8a1271 100644 --- a/manual/develop/en/api/physbo.search.score.html +++ b/manual/develop/en/api/physbo.search.score.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.search.score_multi.html b/manual/develop/en/api/physbo.search.score_multi.html index 643b0d30..d8c6a58c 100644 --- a/manual/develop/en/api/physbo.search.score_multi.html +++ b/manual/develop/en/api/physbo.search.score_multi.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.search.utility.html b/manual/develop/en/api/physbo.search.utility.html index d8f80b12..72bc36f8 100644 --- a/manual/develop/en/api/physbo.search.utility.html +++ b/manual/develop/en/api/physbo.search.utility.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/api/physbo.variable.html b/manual/develop/en/api/physbo.variable.html index 7eb752b2..13f3d043 100644 --- a/manual/develop/en/api/physbo.variable.html +++ b/manual/develop/en/api/physbo.variable.html @@ -16,7 +16,7 @@ - + @@ -111,7 +111,7 @@

    • X (numpy array) – N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of each search candidate.

    • t (numpy array) – N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

      • -

    • Z –

      • +

    • Z

@@ -134,7 +134,7 @@

Adding variable Z. If self.Z is None, self.Z is set as Z.

Parameters:
-

Z –

+

Z

diff --git a/manual/develop/en/contact.html b/manual/develop/en/contact.html index f935f714..6c9c5240 100644 --- a/manual/develop/en/contact.html +++ b/manual/develop/en/contact.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/genindex.html b/manual/develop/en/genindex.html index fa84fa9a..57666ba0 100644 --- a/manual/develop/en/genindex.html +++ b/manual/develop/en/genindex.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/index.html b/manual/develop/en/index.html index 0d3c7bda..3344fcef 100644 --- a/manual/develop/en/index.html +++ b/manual/develop/en/index.html @@ -16,9 +16,11 @@ - + + + diff --git a/manual/develop/en/install.html b/manual/develop/en/install.html index fbfc7b0a..ae55d0ad 100644 --- a/manual/develop/en/install.html +++ b/manual/develop/en/install.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/introduction.html b/manual/develop/en/introduction.html index 41aa16bf..dd3b543d 100644 --- a/manual/develop/en/introduction.html +++ b/manual/develop/en/introduction.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/notebook/index.html b/manual/develop/en/notebook/index.html index b967a2fd..c8612482 100644 --- a/manual/develop/en/notebook/index.html +++ b/manual/develop/en/notebook/index.html @@ -16,9 +16,11 @@ - + + + diff --git a/manual/develop/en/notebook/tutorial_Gaussian_process.html b/manual/develop/en/notebook/tutorial_Gaussian_process.html index f273ae71..ccdd7a6f 100644 --- a/manual/develop/en/notebook/tutorial_Gaussian_process.html +++ b/manual/develop/en/notebook/tutorial_Gaussian_process.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/en/notebook/tutorial_basic.html b/manual/develop/en/notebook/tutorial_basic.html index b875f0f2..396d115f 100644 --- a/manual/develop/en/notebook/tutorial_basic.html +++ b/manual/develop/en/notebook/tutorial_basic.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/en/notebook/tutorial_basic_org.html b/manual/develop/en/notebook/tutorial_basic_org.html index f76781f2..0b06d9e0 100644 --- a/manual/develop/en/notebook/tutorial_basic_org.html +++ b/manual/develop/en/notebook/tutorial_basic_org.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/en/notebook/tutorial_interactive_mode.html b/manual/develop/en/notebook/tutorial_interactive_mode.html index 1ea1ec95..0967c3f6 100644 --- a/manual/develop/en/notebook/tutorial_interactive_mode.html +++ b/manual/develop/en/notebook/tutorial_interactive_mode.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/en/notebook/tutorial_multi_objective.html b/manual/develop/en/notebook/tutorial_multi_objective.html index ac743b15..6fa6d3d5 100644 --- a/manual/develop/en/notebook/tutorial_multi_objective.html +++ b/manual/develop/en/notebook/tutorial_multi_objective.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/en/notebook/tutorial_multi_probe.html b/manual/develop/en/notebook/tutorial_multi_probe.html index ffe8b2eb..c12fcf2f 100644 --- a/manual/develop/en/notebook/tutorial_multi_probe.html +++ b/manual/develop/en/notebook/tutorial_multi_probe.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/en/notebook/tutorial_once_mode.html b/manual/develop/en/notebook/tutorial_once_mode.html index 9749390e..a1122aa2 100644 --- a/manual/develop/en/notebook/tutorial_once_mode.html +++ b/manual/develop/en/notebook/tutorial_once_mode.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/en/py-modindex.html b/manual/develop/en/py-modindex.html index 1c63f0c1..c14b970e 100644 --- a/manual/develop/en/py-modindex.html +++ b/manual/develop/en/py-modindex.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/en/search.html b/manual/develop/en/search.html index adde1e3d..27de9602 100644 --- a/manual/develop/en/search.html +++ b/manual/develop/en/search.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/en/searchindex.js b/manual/develop/en/searchindex.js index e7b73865..8eda46f0 100644 --- a/manual/develop/en/searchindex.js +++ b/manual/develop/en/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["acknowledgement", "algorithm", "api/modules", "api/physbo", "api/physbo.blm", "api/physbo.blm.basis", "api/physbo.blm.basis.fourier", "api/physbo.blm.core", "api/physbo.blm.core.model", "api/physbo.blm.inf", "api/physbo.blm.inf.exact", "api/physbo.blm.lik", "api/physbo.blm.lik.gauss", "api/physbo.blm.lik.linear", "api/physbo.blm.predictor", "api/physbo.blm.prior", "api/physbo.blm.prior.gauss", "api/physbo.gp", "api/physbo.gp.core", "api/physbo.gp.core.learning", "api/physbo.gp.core.model", "api/physbo.gp.core.prior", "api/physbo.gp.cov", "api/physbo.gp.cov.gauss", "api/physbo.gp.inf", "api/physbo.gp.inf.exact", "api/physbo.gp.lik", "api/physbo.gp.lik.gauss", "api/physbo.gp.mean", "api/physbo.gp.mean.const", "api/physbo.gp.mean.zero", "api/physbo.gp.predictor", "api/physbo.misc", "api/physbo.misc.centering", "api/physbo.misc.gauss_elim", "api/physbo.misc.set_config", "api/physbo.opt", "api/physbo.opt.adam", "api/physbo.predictor", "api/physbo.search", "api/physbo.search.discrete", "api/physbo.search.discrete.policy", "api/physbo.search.discrete.results", "api/physbo.search.discrete_multi", "api/physbo.search.discrete_multi.policy", "api/physbo.search.discrete_multi.results", "api/physbo.search.pareto", "api/physbo.search.score", "api/physbo.search.score_multi", "api/physbo.search.utility", "api/physbo.variable", "contact", "index", "install", "introduction", "notebook/index", "notebook/tutorial_Gaussian_process", "notebook/tutorial_basic", "notebook/tutorial_basic_org", "notebook/tutorial_interactive_mode", "notebook/tutorial_multi_objective", "notebook/tutorial_multi_probe", "notebook/tutorial_once_mode"], "filenames": ["acknowledgement.rst", "algorithm.rst", "api/modules.rst", "api/physbo.rst", "api/physbo.blm.rst", "api/physbo.blm.basis.rst", "api/physbo.blm.basis.fourier.rst", "api/physbo.blm.core.rst", "api/physbo.blm.core.model.rst", "api/physbo.blm.inf.rst", "api/physbo.blm.inf.exact.rst", "api/physbo.blm.lik.rst", "api/physbo.blm.lik.gauss.rst", "api/physbo.blm.lik.linear.rst", "api/physbo.blm.predictor.rst", "api/physbo.blm.prior.rst", "api/physbo.blm.prior.gauss.rst", "api/physbo.gp.rst", "api/physbo.gp.core.rst", "api/physbo.gp.core.learning.rst", "api/physbo.gp.core.model.rst", "api/physbo.gp.core.prior.rst", "api/physbo.gp.cov.rst", "api/physbo.gp.cov.gauss.rst", "api/physbo.gp.inf.rst", "api/physbo.gp.inf.exact.rst", "api/physbo.gp.lik.rst", "api/physbo.gp.lik.gauss.rst", "api/physbo.gp.mean.rst", "api/physbo.gp.mean.const.rst", "api/physbo.gp.mean.zero.rst", "api/physbo.gp.predictor.rst", "api/physbo.misc.rst", "api/physbo.misc.centering.rst", "api/physbo.misc.gauss_elim.rst", "api/physbo.misc.set_config.rst", "api/physbo.opt.rst", "api/physbo.opt.adam.rst", "api/physbo.predictor.rst", "api/physbo.search.rst", "api/physbo.search.discrete.rst", "api/physbo.search.discrete.policy.rst", "api/physbo.search.discrete.results.rst", "api/physbo.search.discrete_multi.rst", "api/physbo.search.discrete_multi.policy.rst", "api/physbo.search.discrete_multi.results.rst", "api/physbo.search.pareto.rst", "api/physbo.search.score.rst", "api/physbo.search.score_multi.rst", "api/physbo.search.utility.rst", "api/physbo.variable.rst", "contact.rst", "index.rst", "install.rst", "introduction.rst", "notebook/index.rst", "notebook/tutorial_Gaussian_process.ipynb", "notebook/tutorial_basic.ipynb", "notebook/tutorial_basic_org.ipynb", "notebook/tutorial_interactive_mode.ipynb", "notebook/tutorial_multi_objective.ipynb", "notebook/tutorial_multi_probe.ipynb", "notebook/tutorial_once_mode.ipynb"], "titles": ["Acknowledgement", "Algorithm", "physbo", "physbo package", "physbo.blm package", "physbo.blm.basis package", "physbo.blm.basis.fourier module", "physbo.blm.core package", "physbo.blm.core.model module", "physbo.blm.inf package", "physbo.blm.inf.exact module", "physbo.blm.lik package", "physbo.blm.lik.gauss module", "physbo.blm.lik.linear module", "physbo.blm.predictor module", "physbo.blm.prior package", "physbo.blm.prior.gauss module", "physbo.gp package", "physbo.gp.core package", "physbo.gp.core.learning module", "physbo.gp.core.model module", "physbo.gp.core.prior module", "physbo.gp.cov package", "physbo.gp.cov.gauss module", "physbo.gp.inf package", "physbo.gp.inf.exact module", "physbo.gp.lik package", "physbo.gp.lik.gauss module", "physbo.gp.mean package", "physbo.gp.mean.const module", "physbo.gp.mean.zero module", "physbo.gp.predictor module", "physbo.misc package", "physbo.misc.centering module", "physbo.misc.gauss_elim module", "physbo.misc.set_config module", "physbo.opt package", "physbo.opt.adam module", "physbo.predictor module", "physbo.search package", "physbo.search.discrete package", "physbo.search.discrete.policy module", "physbo.search.discrete.results module", "physbo.search.discrete_multi package", "physbo.search.discrete_multi.policy module", "physbo.search.discrete_multi.results module", "physbo.search.pareto module", "physbo.search.score module", "physbo.search.score_multi module", "physbo.search.utility module", "physbo.variable module", "Contact", "Welcome to PHYSBO\u2019s documentation!", "Basic usage", "Introduction", "Tutorials", "Gaussian process", "Basic usage of PHYSBO", "Basic usage of PHYSBO", "Running PHYSBO interactively", "Multi-objective optimization", "Search multiple candidates at once", "Restart calculations by reading existing calculation results"], "terms": {"we": [0, 1, 53, 54, 56, 57, 58, 59, 60, 62], "would": 0, "like": 0, "thank": [0, 51], "support": [0, 54], "from": [0, 1, 8, 21, 23, 35, 38, 41, 44, 50, 53, 54, 55, 56, 57, 58, 59, 60, 61], "project": [0, 54], "advanc": [0, 1, 6, 54, 58, 60, 62], "softwar": [0, 54], "usabl": [0, 54], "materi": [0, 1, 47, 53, 54], "scienc": [0, 54], "The": [0, 1, 19, 20, 23, 25, 27, 38, 41, 42, 44, 50, 53, 54, 56, 57, 58, 60, 61, 62], "institut": [0, 54], "solid": [0, 54], "state": [0, 54], "physic": [0, 54], "univers": [0, 54], "tokyo": [0, 51, 54], "develop": [0, 52, 53], "physbo": [0, 51, 53, 55, 56, 60, 61], "thi": [1, 14, 23, 27, 31, 38, 47, 53, 54, 56, 57, 58, 59, 60, 61, 62], "section": [1, 53, 56, 57, 58], "describ": [1, 53, 61], "an": [1, 13, 20, 29, 35, 41, 44, 51, 53, 54, 56, 57, 58, 59, 61, 62], "overview": 1, "For": [1, 53, 56, 57, 58, 59, 60], "technic": [1, 54], "detail": [1, 53, 54, 57, 58], "pleas": [1, 51, 53, 54, 56, 57, 58], "refer": [1, 6, 48, 52, 53, 54, 56, 57, 58, 60], "i": [1, 6, 19, 20, 21, 23, 25, 27, 38, 41, 42, 44, 46, 47, 50, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "method": [1, 7, 8, 37, 53, 57, 58, 60], "can": [1, 29, 53, 54, 57, 58, 59, 60, 61, 62], "us": [1, 8, 14, 16, 19, 20, 29, 30, 31, 34, 38, 41, 44, 47, 50, 51, 53, 54, 56, 57, 58, 59, 60, 62], "complex": [1, 53, 54], "simul": [1, 41, 42, 44, 49, 53, 54, 55, 62], "real": [1, 19, 23, 27, 53, 54, 56], "world": [1, 53, 54], "experiment": [1, 53, 54], "task": [1, 53, 54, 60], "where": [1, 6, 19, 23, 27, 53, 54, 58, 60, 62], "evalu": [1, 20, 25, 53, 54, 55, 56, 57, 58, 59, 61], "object": [1, 6, 8, 12, 13, 16, 19, 20, 21, 23, 25, 27, 29, 30, 35, 37, 38, 41, 42, 44, 45, 46, 47, 50, 52, 53, 54, 55, 56, 57, 58, 59], "function": [1, 8, 12, 20, 23, 25, 27, 31, 37, 38, 41, 42, 44, 47, 50, 53, 54, 55, 56, 58, 59, 62], "e": [1, 41, 42, 44, 51, 53, 54, 56, 57, 58, 60], "g": [1, 23, 37, 41, 42, 44, 53, 54, 57, 58], "properti": [1, 42, 45, 53, 54], "valu": [1, 6, 8, 12, 13, 14, 16, 20, 21, 23, 25, 27, 29, 31, 38, 41, 42, 44, 47, 50, 53, 54, 55, 56, 57, 58, 59, 61], "veri": [1, 53, 54], "costli": [1, 53, 54], "In": [1, 41, 44, 53, 54, 56, 57, 58, 59, 60, 61, 62], "other": [1, 10, 16, 51, 53, 54, 57, 58, 60], "word": [1, 53, 54, 57, 58, 60], "solv": [1, 54, 58, 60], "problem": [1, 46, 51, 53, 54, 56, 57, 58, 60], "find": [1, 54, 56, 57, 58, 60], "explanatori": 1, "variabl": [1, 2, 3, 14, 19, 23, 27, 31, 38, 41, 44, 47, 53, 57, 59, 62], "composit": [1, 54], "structur": [1, 52, 54, 56, 58], "process": [1, 6, 21, 41, 44, 52, 53, 54, 55, 57, 58, 59, 62], "paramet": [1, 6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 46, 47, 50, 53, 54, 55, 56, 57, 58, 59], "etc": [1, 57], "have": [1, 16, 51, 53, 56, 57, 58, 60], "better": [1, 54, 60], "few": [1, 54], "experi": [1, 53, 54, 57, 58, 59], "possibl": [1, 53, 54, 56, 57, 58, 59], "start": [1, 56, 58, 62], "situat": [1, 53], "list": [1, 20, 23, 27, 29, 41, 44, 53, 54, 60, 61, 62], "candid": [1, 19, 20, 21, 23, 25, 27, 29, 33, 41, 42, 44, 50, 52, 53, 54, 55, 57], "search": [1, 2, 3, 19, 20, 21, 23, 25, 27, 32, 33, 35, 50, 52, 53, 54, 55], "repres": [1, 19, 41, 44, 58], "vector": [1, 13, 19, 20, 21, 23, 25, 33, 41, 44, 50, 53, 58], "bf": 1, "x": [1, 6, 8, 10, 12, 13, 14, 19, 20, 21, 23, 25, 31, 33, 37, 41, 44, 50, 56, 57, 58, 59, 60, 61, 62], "Then": 1, "among": [1, 53, 54, 60], "one": [1, 23, 53, 54, 56, 57, 58, 60], "expect": [1, 41, 44, 47, 48, 53, 57, 58], "improv": [1, 41, 44, 47, 48, 53, 57, 58], "y": [1, 60], "select": [1, 50, 53, 54, 56, 57, 58, 60], "make": [1, 20, 54, 56], "good": [1, 54, 60], "predict": [1, 14, 31, 38, 53, 54, 55, 59], "machin": [1, 6, 54], "learn": [1, 3, 17, 18, 32, 35, 41, 42, 44, 53, 54, 55, 57, 58, 60, 62], "gaussian": [1, 12, 16, 21, 23, 27, 41, 44, 52, 53, 54, 55, 57, 58], "regress": [1, 53, 54, 56], "perform": [1, 19, 41, 44, 53, 54, 55, 56, 59, 62], "By": [1, 54, 56], "repeat": [1, 54, 60, 62], "achiev": [1, 54], "time": [1, 41, 42, 44, 53, 54, 57, 58, 60, 61, 62], "ar": [1, 16, 41, 44, 47, 50, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "below": [1, 61], "step1": 1, "initi": [1, 8, 10, 13, 14, 19, 29, 31, 53, 56, 57, 58, 62], "prepar": [1, 3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 22, 23, 24, 25, 31, 38, 53, 55], "space": [1, 53, 55, 60], "explor": [1, 53], "up": [1, 53, 57, 58], "At": 1, "stage": [1, 53], "known": 1, "A": [1, 6, 23, 27, 29, 34, 38, 50, 56, 58, 59, 60, 61, 62], "chosen": 1, "condit": 1, "estim": [1, 54], "give": [1, 19, 53, 58, 59], "u": [1, 10, 34, 51, 53], "train": [1, 8, 14, 20, 31, 41, 44, 47, 55, 57, 58, 59], "data": [1, 6, 8, 14, 20, 21, 29, 31, 42, 47, 54, 55, 57], "d": [1, 6, 13, 19, 20, 21, 23, 25, 33, 41, 44, 50, 53, 57, 58, 60], "_i": [1, 60], "y_i": [1, 60], "_": [1, 58, 59, 61], "1": [1, 6, 8, 10, 14, 20, 21, 23, 27, 31, 33, 34, 41, 44, 47, 48, 54, 56, 57, 58, 59, 60, 61, 62], "cdot": [1, 60], "n": [1, 6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 31, 33, 34, 41, 42, 44, 49, 50, 53, 56, 58, 60], "step2": 1, "mean": [1, 3, 8, 10, 12, 13, 14, 16, 17, 20, 21, 25, 31, 33, 38, 41, 44, 47, 56, 57, 58, 60], "arbitari": 1, "mu_c": 1, "varianc": [1, 8, 10, 12, 14, 16, 21, 31, 56, 57, 58], "sigma_c": 1, "given": [1, 41, 44, 47, 54, 56, 58], "follow": [1, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "k": [1, 56, 58], "t": [1, 3, 8, 10, 19, 20, 23, 25, 27, 29, 34, 39, 41, 42, 44, 45, 46, 47, 48, 49, 50, 53, 56, 57, 58, 59, 61, 62], "sigma": 1, "2": [1, 27, 31, 41, 44, 47, 56, 57, 58, 59, 60, 61, 62], "call": [1, 57, 58, 60], "kernel": [1, 6, 8, 23], "similar": [1, 56], "two": [1, 53, 57, 58, 59, 60, 61], "gener": [1, 54, 56, 57, 60], "exp": [1, 27, 60], "left": [1, 60, 62], "frac": 1, "eta": 1, "right": [1, 54, 60], "comput": [1, 6, 16, 23, 54, 58, 60], "_1": 1, "_2": 1, "_n": 1, "top": 1, "begin": [1, 60], "arrai": [1, 19, 20, 23, 25, 27, 29, 33, 41, 42, 44, 50, 56, 57, 58, 59, 60, 61], "cccc": 1, "ldot": 1, "vdot": 1, "ddot": 1, "end": [1, 60], "all": [1, 16, 20, 41, 42, 44, 51, 53, 54, 57, 58, 60, 62], "yet": [1, 14, 41, 44, 57, 58], "been": [1, 54, 56, 58], "test": [1, 14, 21, 25, 31, 47, 48, 55, 56], "associ": [1, 53], "uncertainti": 1, "acquisit": [1, 41, 44, 47, 53, 55, 58], "calcul": [1, 8, 10, 12, 13, 14, 16, 20, 21, 25, 31, 34, 37, 41, 44, 47, 48, 52, 55, 56, 57, 58], "maxim": [1, 46, 53, 58, 60], "which": [1, 19, 41, 42, 44, 60], "do": [1, 53, 60], "know": 1, "case": [1, 57, 59, 60, 61, 62], "hyperparamet": [1, 54, 57, 58], "automat": [1, 54], "set": [1, 12, 13, 14, 16, 20, 21, 23, 27, 29, 31, 38, 41, 44, 46, 47, 50, 53, 55, 59, 61, 62], "best": [1, 53, 57, 58, 61], "As": [1, 59, 60, 61, 62], "exampl": [1, 56, 57, 58, 59, 61], "maximum": [1, 19, 23, 27, 29, 37, 41, 44, 47, 53, 57, 60], "probabl": [1, 41, 44, 47, 48, 53, 57, 58], "pi": [1, 3, 39, 41, 44, 47, 53, 57, 58], "ei": [1, 3, 39, 41, 44, 47, 53, 57, 58, 59, 61], "score": [1, 3, 38, 39, 41, 44, 48, 49, 53, 57, 58, 59, 60, 61, 62], "defin": [1, 23, 29, 30, 38, 41, 44, 47, 53, 55, 58, 60, 61], "text": 1, "mathbf": 1, "phi": 1, "z": [1, 20, 21, 23, 25, 50], "y_": 1, "max": [1, 47, 54], "cumul": 1, "distribut": [1, 8, 41, 44, 47, 53, 57, 60], "exceed": [1, 53], "current": [1, 23, 37, 53, 57, 58], "obtain": [1, 56, 57, 58, 61, 62], "addit": 1, "differ": [1, 53, 60, 61], "between": [1, 53, 60, 61], "densiti": 1, "step3": 1, "largest": [1, 53, 54, 60], "step": [1, 41, 42, 44, 53, 57, 58, 59, 61], "add": [1, 3, 39, 46, 50, 53], "more": [1, 53, 56, 57, 58, 60, 61], "piec": 1, "3": [1, 23, 38, 53, 54, 56, 57, 58, 59, 60, 61, 62], "random": [1, 6, 8, 13, 31, 41, 44, 54, 56, 59, 61, 62], "featur": [1, 6, 8, 10, 12, 13, 14, 19, 20, 21, 23, 25, 33, 41, 44, 50, 54], "map": [1, 6, 8, 10, 12, 13, 14, 20, 54], "thompson": [1, 41, 44, 47, 53, 54, 57, 58], "sampl": [1, 4, 7, 8, 9, 10, 11, 12, 14, 18, 20, 21, 26, 27, 31, 38, 41, 44, 47, 53, 54, 57, 58, 59, 62], "choleski": [1, 54], "decomposit": 1, "first": [1, 8, 41, 44, 46, 53, 56, 57, 58], "introduc": [1, 55, 56, 57], "approxim": 1, "simeq": 1, "z_": 1, "omega_1": 1, "b_1": 1, "omega_l": 1, "b_l": 1, "omega": 1, "b": [1, 6, 10, 19, 23], "sqrt": [1, 57, 60], "co": [1, 6], "boldsymbol": 1, "p": [1, 60], "uniformli": 1, "0": [1, 8, 10, 14, 23, 27, 29, 33, 41, 42, 44, 47, 53, 54, 56, 57, 58, 59, 60, 61, 62], "strictli": 1, "valid": 1, "limit": 1, "l": [1, 6, 13, 19, 34], "infti": 1, "dimens": [1, 6, 12, 30, 37, 53, 57, 58], "row": [1, 19, 20, 21, 23, 25, 33, 41, 44, 50, 58], "column": [1, 33, 58], "matrix": [1, 6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 31, 33, 34, 41, 44, 50, 57, 58], "each": [1, 16, 19, 20, 21, 23, 25, 27, 31, 33, 38, 41, 42, 44, 50, 53, 57, 58, 59, 60, 61], "It": [1, 53, 54, 59, 60], "seen": 1, "relat": [1, 60], "satisfi": [1, 60], "next": [1, 41, 42, 44, 53, 55, 57, 58, 59, 60], "o": 1, "note": [1, 10, 41, 44, 56, 57, 60], "result": [1, 29, 39, 40, 41, 43, 44, 52, 53, 55, 56, 59], "becaus": 1, "need": 1, "order": [1, 46, 56, 58, 60], "linear": [1, 4, 8, 10, 11, 12, 14, 20, 53, 57, 58], "model": [1, 4, 7, 10, 14, 17, 18, 25, 31, 38, 53, 54, 55, 57, 58, 59], "w": [1, 6, 8, 10, 23], "abov": [1, 53, 56, 57, 58, 60, 62], "coeffici": [1, 6], "when": [1, 23, 27, 41, 44, 51, 53, 54, 57, 58, 60, 61], "determin": 1, "mathcal": 1, "mu": 1, "accord": 1, "posterior": [1, 8, 10, 14, 20, 25, 31, 47, 53, 60], "dimension": [1, 19, 20, 21, 23, 25, 27, 33, 41, 42, 44, 50, 53, 57, 58, 60], "so": [1, 53, 57, 58], "manner": 1, "therefor": [1, 56, 58], "now": [1, 57, 58], "consid": 1, "newli": 1, "ad": [1, 27, 50], "iter": [1, 19], "With": [1, 61], "updat": [1, 3, 4, 6, 8, 10, 14, 17, 20, 31, 36, 37, 38, 41, 42, 44, 46, 53, 54, 60], "done": [1, 37, 56, 57, 58, 60, 62], "reduc": [1, 54, 60], "take": [1, 23, 56, 58, 60], "If": [1, 14, 20, 21, 23, 25, 31, 41, 42, 44, 47, 50, 51, 53, 56, 57, 58, 60, 61], "everi": 1, "numer": [1, 53, 57, 58, 60], "cost": 1, "becom": [1, 53], "_0": 1, "techniqu": [1, 54], "almost": 1, "number": [1, 6, 8, 10, 13, 14, 16, 19, 20, 21, 23, 27, 29, 31, 37, 41, 42, 44, 53, 54, 56, 57, 58, 60, 61], "packag": [2, 54], "subpackag": [2, 52], "blm": [2, 3, 20, 53], "submodul": [2, 52], "modul": [2, 52, 53], "content": [2, 60], "gp": [2, 3, 53, 56], "misc": [2, 3, 14, 20, 53, 54, 56, 58, 59, 61, 62], "opt": [2, 3, 53], "predictor": [2, 3, 4, 17, 20, 41, 42, 44, 47, 53, 59], "base_predictor": [2, 3, 14, 31, 38], "basi": [3, 4, 8, 10, 11, 12, 13, 14, 16, 19, 20, 23, 31, 38, 41, 44, 57, 58], "core": [3, 4, 10, 14, 17, 25], "inf": [3, 4, 8, 17, 20], "lik": [3, 4, 7, 8, 10, 17, 20, 56], "prior": [3, 4, 7, 8, 17, 18, 20, 56], "cov": [3, 11, 12, 15, 16, 17, 20, 21, 41, 44, 56], "center": [3, 32, 53, 54, 56, 58, 59, 61, 62], "gauss_elim": [3, 32], "set_config": [3, 14, 20, 32, 56], "adam": [3, 17, 18, 19, 32, 35, 36], "batch": [3, 17, 18, 19, 32, 35], "boolean": [3, 32, 35], "onlin": [3, 17, 18, 19, 32, 35], "discret": [3, 39, 44, 53, 57, 58, 59, 60, 61, 62], "discrete_multi": [3, 39, 60], "pareto": [3, 39, 44, 48], "rectangl": [3, 39, 46, 60], "domin": [3, 39, 46], "score_multi": [3, 39], "ehvi": [3, 39, 48], "hvpi": [3, 39, 44, 48], "util": [3, 39, 59], "is_learn": [3, 39, 49], "length_vector": [3, 39, 49], "show_interactive_mod": [3, 39, 49], "show_search_result": [3, 39, 49, 59], "show_search_results_mo": [3, 39, 49], "show_start_message_multi_search": [3, 39, 49], "delete_stat": [3, 4, 14, 17, 31, 38], "fit": [3, 4, 14, 17, 18, 20, 31, 38, 56], "get_basi": [3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 17, 31, 38], "get_post_fcov": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "get_post_fmean": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "get_post_param": [3, 4, 14, 17, 31, 38], "get_post_params_sampl": [3, 38], "get_post_sampl": [3, 4, 14, 17, 31, 38], "get_predict_sampl": [3, 4, 14, 17, 31, 38], "load": [3, 22, 23, 32, 35, 38, 40, 41, 42, 43, 44, 45, 50, 53, 56, 57, 58, 59, 61, 62], "save": [3, 22, 23, 38, 40, 41, 42, 43, 44, 45, 50, 53, 56, 57, 58, 59, 61, 62], "add_x": [3, 50], "add_z": [3, 50], "add_t": [3, 50], "delet": [3, 31, 38, 50, 59], "delete_x": [3, 50], "delete_z": [3, 50], "delete_t": [3, 50], "get_subset": [3, 50], "fourier": [4, 5, 12], "exact": [4, 8, 9, 17, 20, 24, 31], "get_post_params_mean": [4, 7, 8, 9, 10], "update_stat": [4, 7, 8, 9, 10], "gauss": [4, 8, 11, 15, 17, 22, 26, 56], "cov_const": [4, 15, 16], "config": [4, 14, 19, 20, 31, 35, 38, 41, 44, 56], "bayesian": [4, 41, 44, 52, 53, 54, 55, 56, 59, 61, 62], "param": [5, 6, 11, 12, 13, 15, 16, 19, 20, 21, 23, 25, 27, 29, 30, 36, 37, 56], "nbasi": [5, 6, 7, 8, 11, 13, 15, 16], "set_param": [5, 6, 11, 12, 13, 15, 16, 18, 20, 21, 22, 23, 26, 27, 28, 29, 30, 36, 37, 56], "show": [5, 6, 23, 32, 35, 59, 60], "class": [6, 8, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 35, 37, 38, 41, 42, 44, 45, 46, 47, 50, 53, 55, 58, 59, 60, 61], "sourc": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 45, 46, 47, 48, 49, 50, 53], "base": [6, 8, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 35, 37, 38, 41, 42, 44, 45, 46, 47, 48, 50, 54], "psi": [6, 8, 10, 12, 13, 14], "wt": 6, "alpha": [6, 8, 10, 14, 20, 31, 34, 36, 37, 41, 44, 47, 48, 57], "input": [6, 8, 10, 12, 13, 14, 20, 29, 31, 35, 37, 41, 44, 47, 51, 53, 56, 58, 60, 61], "weight": [6, 8, 10, 12, 13, 14], "transpos": 6, "bia": [6, 11, 12, 13], "type": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 35, 37, 41, 44, 47, 50, 53, 57, 58], "tupl": [6, 8, 10, 20, 23, 27], "int": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 37, 41, 44, 50, 56, 57], "rahimi": 6, "recht": 6, "larg": [6, 54], "scale": [6, 23, 58], "neural": [6, 60], "inform": [6, 23, 35, 38, 41, 42, 44, 51, 53, 56, 58, 61], "system": [6, 34, 51], "2007": 6, "pp": 6, "1177": 6, "1184": 6, "none": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 35, 38, 41, 42, 44, 45, 46, 47, 48, 49, 50, 59, 62], "numpi": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 37, 41, 42, 44, 47, 50, 53, 56, 57, 58, 59, 60, 61, 62], "ndarrai": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 34, 37, 41, 42, 44, 47, 56, 57], "default": [6, 8, 10, 12, 13, 14, 16, 19, 20, 31, 38, 41, 42, 44, 47, 53, 57, 58], "self": [6, 12, 13, 14, 16, 31, 37, 38, 41, 44, 50, 57, 58, 59, 60, 61], "return": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 41, 42, 44, 47, 50, 53, 56, 57, 58, 59, 60, 61, 62], "print": [6, 20, 56, 57, 58, 62], "stat": [7, 8, 10, 11, 12, 25], "post_sampl": [7, 8, 18, 20], "predict_sampl": [7, 8, 18, 20], "option": [8, 37, 53], "baysean": [8, 14, 20, 53], "auxial": [8, 10], "str": [8, 23, 35, 38, 41, 42, 44, 47, 50], "diag": [8, 10, 20, 21, 23, 25, 31], "true": [8, 10, 20, 21, 23, 25, 31, 35, 41, 44, 60], "covari": [8, 10, 12, 14, 16, 20, 21, 23, 25, 27, 31, 38, 41, 44, 56], "bool": [8, 10, 20, 21, 23, 25, 31, 41, 44], "onli": [8, 10, 41, 44, 47, 57, 58], "diagon": [8, 10, 20, 21, 23, 25, 27], "xtest": 8, "draw": [8, 10, 12, 14, 20, 31], "float": [8, 10, 12, 13, 14, 16, 20, 21, 23, 25, 31, 37, 41, 44, 47], "nois": [8, 10, 14, 20, 27, 47], "dataset": [8, 14, 20, 31, 41, 44, 47, 56, 59, 61, 62], "target": [8, 10, 56], "label": [8, 10], "w_mu": [8, 10], "anoth": [8, 56], "auxiaiali": 10, "quick": 10, "new": [10, 29, 46, 56, 60], "fast": [10, 48, 54, 60], "mutat": 10, "while": [10, 56], "get_cov": [11, 12, 15, 16, 18, 21, 22, 23, 26, 27], "get_mean": [11, 12, 13, 15, 16, 18, 21, 28, 29, 30], "get_prec": [11, 12, 15, 16], "set_bia": [11, 12, 13], "_init_param": [11, 13], "half": [12, 16], "log": [12, 16, 23, 27, 53], "nxn": 12, "raw": 12, "precis": [12, 16], "fmean": [12, 27, 48, 56], "size": [13, 19, 23, 27, 41, 44, 60, 62], "np": [13, 31, 41, 44, 56, 57, 58, 59, 60, 61, 62], "configur": [14, 35], "reset": [14, 18, 19], "num_basi": [14, 20, 23, 31], "alreadi": [14, 31, 37, 56, 58], "doe": [14, 31, 58], "len": [14, 31, 56], "otherwis": 14, "ignor": 14, "sigma2": [15, 16], "prec": [15, 16, 60], "isotrop": 16, "element": [16, 19, 23, 27], "same": [16, 41, 44, 53, 56, 60, 61], "independ": [16, 19, 23, 27], "inv": 16, "compon": 16, "eval_marlik": [17, 18, 20, 24, 25], "get_grad_marlik": [17, 18, 20, 24, 25], "const": [17, 28, 56], "zero": [17, 28, 41, 44], "get_one_upd": [18, 19], "init_params_search": [18, 19], "one_run": [18, 19], "run": [18, 19, 36, 37, 41, 42, 44, 52, 53, 55, 56, 57, 58, 61, 62], "disp_marlik": [18, 19], "cat_param": [18, 20, 21, 22, 23], "decomp_param": [18, 20, 21, 22, 23], "export_blm": [18, 20], "get_cand_param": [18, 20, 22, 23, 26, 27, 28, 29], "get_params_bound": [18, 20, 22, 23, 26, 27, 28, 29], "print_param": [18, 20, 22, 23, 56], "sub_sampl": [18, 20], "get_grad_cov": [18, 21], "get_grad_mean": [18, 21], "set_cov_param": [18, 21], "set_mean_param": [18, 21], "optim": [19, 20, 23, 25, 27, 37, 41, 42, 44, 48, 50, 52, 53, 54, 55, 56, 62], "denot": [19, 20, 21, 23, 25, 33, 41, 44, 50], "correspond": [19, 41, 44, 58], "neg": [19, 20, 23, 25, 27, 41, 42, 44, 50, 53, 57, 58], "energi": [19, 20, 23, 25, 27, 41, 42, 44, 50, 58], "minimum": [19, 23, 27, 29, 57, 60], "margin": [19, 20, 25, 56, 62], "likelihood": [19, 20, 25, 27, 56, 62], "max_it": 19, "guess": 19, "solut": [19, 34, 53, 57], "bfg": 19, "algorithm": [19, 52, 53, 54, 60], "eval_x": 19, "eval_t": 19, "num_epoch": 19, "displai": [19, 57, 60], "epoch": [19, 36, 37, 56, 62], "max_epoch": [19, 36, 37], "is_disp": [19, 41, 44], "fals": [19, 21, 23, 35, 41, 44, 46, 49, 56], "hyper": [19, 41, 44, 48, 56, 62], "lik_param": 20, "prior_param": 20, "concatin": [20, 23], "about": [20, 35, 41, 44, 51, 52, 53], "decompos": [20, 21, 23], "those": [20, 21], "likelifood": 20, "total": [20, 21, 23, 29, 41, 42, 44, 53, 57, 58, 61], "subset": [20, 50], "specifi": [20, 50, 51, 53, 57, 58, 59, 60, 61], "marlik": [20, 25], "export": [20, 42], "get": [20, 23, 27, 29, 38, 41, 42, 44, 50, 55, 59, 61], "gradiant": [20, 21, 23, 25], "grad_marlik": [20, 25], "boundari": [20, 23, 27, 29], "bound": [20, 23, 27, 29, 46, 60], "min_param": [20, 23, 27, 29], "max_param": [20, 23, 27, 29], "subx": 20, "subt": 20, "mean_param": 21, "cov_param": 21, "num_data": [21, 27, 29, 30], "get_grad": [22, 23, 26, 27, 28, 29, 30], "rand_expan": [22, 23], "supp_param": [22, 23, 26, 27, 28, 29], "num_dim": 23, "width": 23, "ard": [23, 56], "max_width": 23, "1000000": [23, 27], "min_width": 23, "1e": [23, 27], "06": [23, 27], "max_scal": 23, "min_scal": 23, "logarithm": 23, "them": [23, 53, 56, 60], "region": 23, "grad": [23, 36, 37], "num_param": [23, 27, 29], "file_nam": [23, 35, 38, 44, 50], "recov": 23, "file": [23, 35, 38, 41, 42, 44, 50, 51, 53, 56, 57, 58, 59, 61, 62], "name": [23, 35, 38, 41, 42, 44, 50], "expans": 23, "tuppl": [23, 25, 29], "amp": 23, "greater": [23, 27], "less": [23, 27], "than": [23, 27, 53, 57, 58, 60], "trans_param": [26, 27], "std": [27, 56, 57], "standard": [27, 33, 54, 56, 58], "deviat": [27, 33, 56], "10": [27, 54, 56, 57, 58, 59, 60, 61], "gradient": [27, 37], "init_param": [28, 29], "1000000000000": 29, "constant": 29, "median": 29, "array_lik": [29, 34], "convert": 29, "hold": 29, "fill": [29, 41, 42, 44], "ones": 29, "empti": 30, "Not": 30, "statu": [31, 38], "must": [31, 38, 56, 57], "overwritten": [31, 38], "arg": [31, 37, 38], "kwd": [31, 38], "diagonl": 31, "flag": 31, "tune": [31, 41, 44, 54], "multipli": [31, 57, 58, 60], "multivariate_norm": [31, 41, 44], "normal": [33, 53, 56, 57, 58], "along": 33, "respect": [33, 57, 58, 60], "x_normal": 33, "scipi": [34, 53, 57], "linalg": 34, "solve_triangular": 34, "m": [34, 36, 37, 53], "triangular": 34, "shape": [34, 56, 60], "match": 34, "_sectoin": 35, "search_config": 35, "learning_config": 35, "ini": 35, "nparam": [36, 37], "v": [36, 37], "beta": [36, 37], "gamma": [36, 37], "epsilon": [36, 37], "f": [37, 41, 44, 57, 58], "kwarg": [37, 47, 48], "pass": [37, 53, 57, 60], "pickl": 38, "dump": [38, 59], "protocol": 38, "version": [38, 51, 54], "__dict__": 38, "polici": [39, 40, 43, 53, 55, 59, 61, 62], "histori": [39, 40, 41, 42, 43, 44, 45, 49, 53, 57, 58, 59, 60, 61], "divide_non_dominated_region": [39, 46], "export_front": [39, 46], "set_reference_max": [39, 46], "set_reference_min": [39, 46], "update_front": [39, 46], "volume_in_domin": [39, 46, 60], "bayes_search": [40, 41, 43, 44, 53, 57, 58, 59, 60, 61, 62], "export_histori": [40, 41], "export_predictor": [40, 41], "export_train": [40, 41], "get_scor": [40, 41, 43, 44, 57], "random_search": [40, 41, 43, 44, 53, 57, 58, 59, 60, 61], "set_se": [40, 41, 57, 58, 59, 60, 61, 62], "write": [40, 41, 42, 43, 44, 45, 59], "export_all_sequence_best_fx": [40, 42, 53, 57, 58, 61], "export_sequence_best_fx": [40, 42, 61], "time_get_act": [40, 41, 42, 43, 44, 45], "time_run_simul": [40, 41, 42, 43, 44, 45], "time_tot": [40, 41, 42, 43, 44, 45], "time_update_predictor": [40, 41, 42, 43, 44, 45], "test_x": [41, 44, 57, 58, 59, 60, 61, 62], "initial_data": [41, 44, 62], "comm": [41, 44, 57], "max_num_prob": [41, 44, 57, 58, 59, 60, 61, 62], "num_search_each_prob": [41, 44, 61], "interv": [41, 44, 49, 57, 58, 59, 60, 61, 62], "num_rand_basi": [41, 44, 57, 58, 59, 60, 61, 62], "blm_predictor": [41, 44], "messag": [41, 44, 60], "output": [41, 44, 51, 53, 56], "callabl": [41, 44], "__call__": [41, 44, 57, 58, 59, 60, 61], "here": [41, 44, 55, 57, 62], "action": [41, 42, 44, 45, 50, 53, 55, 57, 58, 59, 60, 61], "integ": [41, 44], "index": [41, 42, 44, 50, 57], "aquis": [41, 44], "funciton": [41, 44], "avail": [41, 44, 47, 54], "you": [41, 44, 51, 53, 56, 57, 58, 59, 60, 61, 62], "choos": [41, 44, 53, 57], "ordinari": [41, 44], "post": [41, 44, 57], "mode": [41, 44, 47, 48, 57], "parallel": [41, 44, 55], "calcualt": [41, 44], "aquisit": [41, 44], "These": [41, 44], "py": [41, 44, 53], "mpi": [41, 44, 57], "multi": [41, 44, 52, 54, 55], "variat": [41, 44], "rais": [41, 44, 47], "runtimeerror": [41, 44], "both": [41, 44, 60], "neither": [41, 44], "nor": [41, 44], "assum": [41, 44, 58], "receiv": [41, 44, 58], "rank": [41, 44, 54], "want": [41, 44, 53, 56, 58, 59, 60], "split": [41, 44, 60], "itself": [41, 44, 60], "merg": [41, 44], "yourself": [41, 44], "file_histori": [41, 44, 59], "file_train": [41, 44, 59], "file_predictor": [41, 44, 59], "store": [41, 42, 44, 56, 62], "seed": [41, 57, 58, 59, 61, 62], "dimenst": [41, 42, 44], "elaps": [41, 42, 44], "hyperparemt": [41, 42, 44], "fx": [42, 53, 57, 58, 60, 61], "sequenc": 42, "total_num_research": 42, "best_fx": [42, 57, 58, 61], "best_act": [42, 53, 57, 58, 61], "num_run": [42, 60], "filenam": [42, 45], "overwrit": 42, "chosen_act": [42, 53, 57, 58], "load_predictor_list": [43, 44], "load_training_list": [43, 44], "new_data_list": [43, 44], "save_predictor_list": [43, 44], "save_training_list": [43, 44], "export_pareto_front": [43, 45, 60], "num_object": [44, 45, 46, 60], "training_list": [44, 48], "predictor_list": [44, 48], "disp_pareto_set": [44, 49, 60], "file_training_list": 44, "file_predictor_list": 44, "dom_rul": 46, "force_binary_search": 46, "reference_max": 46, "reference_min": 46, "non": [46, 60], "point": [46, 53, 57, 60, 62], "sort": [46, 60], "ascend": [46, 60], "ref_min": [46, 60], "ref_max": [46, 60], "dominance_ratio": 46, "n_dim": 46, "dtype": 46, "lb": 46, "ub": 46, "lower": [46, 60], "upper": [46, 60], "t1": 46, "t2": 46, "rule": [46, 60], "fmax": 47, "see": [47, 53, 54, 57, 58, 60], "sec": 47, "discoveri": [47, 54], "volum": [47, 48, 54], "4": [47, 56, 57, 58, 59, 60, 61, 62], "june": 47, "2016": [47, 56, 58], "page": [47, 51, 54], "18": [47, 56], "21": [47, 60], "kind": 47, "notimplementederror": 47, "unknown": 47, "fstd": 48, "couckuyt": [48, 60], "et": 48, "al": 48, "2014": [48, 60], "multiobject": [48, 60], "criteria": [48, 60], "hypervolum": 48, "reduced_candidate_num": 48, "num_row": 50, "whose": 50, "savez_compress": 50, "bug": 51, "report": 51, "github": [51, 53], "issu": 51, "To": [51, 57, 58], "resolv": 51, "earli": 51, "guidelin": 51, "instal": [51, 52], "your": 51, "oper": 51, "compil": 51, "occur": 51, "dure": 51, "execut": [51, 53, 55, 57, 58], "enter": 51, "its": [51, 53, 57, 58], "cooper": 51, "ani": [51, 60], "question": 51, "research": [51, 54], "difficult": [51, 54], "consult": 51, "send": 51, "mail": 51, "address": 51, "dev__at__issp": 51, "ac": 51, "jp": 51, "replac": [51, 56], "_at_": 51, "introduct": [52, 55], "citat": 52, "main": 52, "licens": 52, "basic": [52, 55, 60, 61], "usag": [52, 55, 60], "flow": [52, 62], "tutori": [52, 53, 56, 57, 58, 59, 60, 61, 62], "interact": [52, 53, 55, 57, 58, 62], "restart": [52, 55], "read": [52, 55, 56], "exist": [52, 55, 58, 60], "multipl": [52, 53, 55, 57, 58, 60], "onc": [52, 53, 55, 57, 58], "acceler": [52, 54, 56, 58], "api": [52, 53, 60], "acknowledg": 52, "contact": 52, "python": [53, 54], "6": [53, 56, 58, 59, 60, 61, 62], "pypi": 53, "recommend": [53, 60], "pip3": 53, "also": [53, 56, 57, 58, 59, 60, 61], "user": 53, "under": [53, 54], "": [53, 57, 58, 60], "home": 53, "directori": 53, "clone": 53, "repositori": 53, "git": 53, "http": [53, 54], "com": [53, 54], "issp": 53, "dev": 53, "pip": 53, "19": [53, 57, 60], "higher": 53, "don": 53, "python3": 53, "ensurepip": 53, "cd": 53, "command": 53, "ha": [53, 54, 60], "shown": 53, "second": 53, "level": 53, "creat": [53, 57], "optimaz": 53, "abstract": 53, "well": 53, "suit": 53, "should": [53, 56, 57, 58], "direct": [53, 58], "minim": [53, 58], "appli": [53, 58], "argument": [53, 57, 58, 61], "randomli": [53, 56, 60], "preprocess": 53, "predicetd": 53, "highest": 53, "loop": [53, 57, 58], "rotat": 53, "ii": [53, 57, 58], "instead": [53, 57, 58], "insid": [53, 57, 58], "control": [53, 57, 58, 59], "separ": [53, 57, 58, 59], "outsid": [53, 57, 58, 59], "propos": [53, 57, 58, 59], "some": [53, 57, 58], "wai": [53, 57, 58, 59], "rather": [53, 57, 58], "regist": [53, 55, 56, 57, 58, 59], "check": [53, 55], "re": [53, 57, 58, 60, 61], "id": [53, 55, 57, 58, 59, 60, 61], "fbest": [53, 57, 58], "total_num_search": [53, 57, 58, 61], "extern": [53, 57, 58, 59, 62], "how": [53, 57], "tool": 54, "librari": 54, "scalabl": 54, "combo": 54, "common": 54, "mainli": 54, "field": 54, "There": 54, "mani": 54, "attempt": 54, "scientif": 54, "through": [54, 55], "driven": 54, "design": [54, 57], "chemistri": 54, "effect": 54, "characterist": 54, "On": 54, "hand": 54, "computation": 54, "expens": 54, "implement": [54, 60], "scikit": 54, "handl": 54, "amount": 54, "high": 54, "due": [54, 62], "cite": 54, "yuichi": 54, "motoyama": 54, "ryo": 54, "tamura": 54, "kazuyoshi": 54, "yoshimi": 54, "kei": 54, "terayama": 54, "tsuyoshi": 54, "ueno": 54, "koji": 54, "tsuda": [54, 56, 58], "commun": [54, 57], "278": 54, "septemb": 54, "2022": 54, "108405": 54, "www": 54, "sciencedirect": 54, "articl": 54, "pii": 54, "s0010465522001242": 54, "via": [54, 57], "3dihub": 54, "open": [54, 62], "access": 54, "bibtex": 54, "motoyama2022108405": 54, "titl": [54, 60], "journal": [54, 60], "year": 54, "issn": 54, "0010": 54, "4655": 54, "doi": 54, "org": 54, "1016": 54, "j": [54, 56, 58, 60], "cpc": 54, "author": 54, "keyword": [54, 57], "screen": 54, "ver": 54, "intern": 54, "nanoarchitecton": 54, "nation": 54, "magn": 54, "capit": 54, "manag": 54, "compani": 54, "graduat": 54, "school": [54, 60], "medic": 54, "life": 54, "yokohama": 54, "citi": 54, "frontier": 54, "naoki": 54, "kawashima": 54, "gnu": 54, "public": 54, "copyright": 54, "c": [54, 60], "2020": 54, "reserv": 54, "part": 54, "serial": 55, "definit": [55, 56], "suspend": 55, "precomput": 55, "plot": [55, 57, 58, 61], "appendix": 55, "full": 55, "procedur": 56, "stabl": [56, 58], "interfac": [56, 58], "cu": [56, 58], "although": [56, 58], "relax": [56, 58], "actual": [56, 58], "sever": [56, 58], "hour": [56, 58], "per": [56, 58], "setup": [56, 58], "kiyohara": [56, 58], "h": [56, 58], "oda": [56, 58], "mizoguchi": [56, 58], "krige": [56, 58], "approach": [56, 58], "jpn": [56, 58], "appl": [56, 58], "phy": [56, 58], "55": [56, 58], "045502": [56, 58], "s5": [56, 58, 59, 61, 62], "210": [56, 58, 59, 61, 62], "csv": [56, 58, 59, 61, 62], "subdirectori": [56, 59, 61, 62], "import": [56, 57, 58, 59, 60, 61, 62], "def": [56, 57, 58, 59, 60, 61, 62], "load_data": [56, 58, 59, 61, 62], "asarrai": [56, 58, 59, 61, 62], "loadtxt": [56, 58, 59, 61, 62], "skiprow": [56, 58, 59, 61, 62], "delimit": [56, 58, 59, 61, 62], "ntrain": 56, "ntest": 56, "min": 56, "id_al": 56, "choic": 56, "id_train": 56, "id_test": 56, "x_train": 56, "x_test": 56, "t_train": 56, "t_test": 56, "1798": 56, "5": [56, 58, 59, 60, 62], "7": [56, 57, 58, 60, 61], "th": [56, 57, 58, 59, 62], "17312": 56, "31220145003": 56, "50": [56, 57, 60, 62], "6291": 56, "292745798703": 56, "100": [56, 61, 62], "3269": 56, "1167759139516": 56, "150": [56, 62], "1568": 56, "3930580794922": 56, "200": [56, 62], "664": 56, "2847129159145": 56, "250": [56, 62], "249": 56, "28468708456558": 56, "300": [56, 62], "869": 56, "7604930929888": 56, "350": [56, 62], "1316": 56, "6809532065581": 56, "400": [56, 62], "1546": 56, "1623851368954": 56, "450": [56, 62], "1660": 56, "7298135295766": 56, "500": [56, 57, 62], "1719": 56, "5056128528097": 56, "8": [56, 57, 58, 60, 61], "81666924": 56, "05939674": 56, "91578975": 56, "45544347": 56, "9": [56, 57, 58, 60], "fcov": 56, "00420815": 56, "10923758": 56, "97840623": 56, "00323733": 56, "97015759": 56, "11076236": 56, "11": [56, 57, 58], "00056069": 56, "00075529": 56, "00043006": 56, "0016925": 56, "00070103": 56, "00073499": 56, "squar": 56, "error": 56, "12": [56, 57, 58, 61], "008107085662147708": 56, "gp_param": 56, "immedi": 56, "after": 56, "13": [56, 57, 58], "1d": 56, "append": [56, 57], "14": [56, 57, 58, 60], "15": [56, 57, 58, 60], "16": [56, 57, 58, 60], "17": [56, 58, 60], "pre": 56, "x_new": 56, "includ": 56, "x_": 56, "format": [56, 57], "singl": [56, 60, 61], "transform": [56, 57], "reshap": [56, 57, 60], "grid": [57, 60], "chop": 57, "window_num": 57, "10001": 57, "divis": 57, "x_min": 57, "x_max": 57, "itertool": [57, 60], "linspac": [57, 60], "answer": 57, "__init__": [57, 58, 59, 60, 61], "indic": [57, 60], "retriev": 57, "form": 57, "action_idx": 57, "sinc": [57, 58, 60], "declar": 57, "fx_list": 57, "x_list": 57, "present": 57, "optimum": 57, "x_opt": 57, "argmin": 57, "let": [57, 58, 60], "requir": [57, 58], "least": [57, 58], "depend": [57, 58], "20": [57, 58, 60, 61, 62], "0020": [57, 58], "075990": 57, "8288": 57, "150313": 57, "2949": 57, "without": [57, 58], "wa": [57, 58], "rang": [57, 58, 60, 62], "matplotlib": [57, 58, 60, 61], "pyplot": [57, 58, 60, 61], "plt": [57, 58, 60, 61], "inlin": [57, 58, 60, 61], "lt": [57, 58, 61], "line": [57, 58, 61], "line2d": [57, 58, 61], "0x7f816129d820": 57, "gt": [57, 58, 61], "0x7f8130b30f70": 57, "search_result": [57, 58], "npz": [57, 58, 59], "del": [57, 58, 59], "final": 57, "arriv": 57, "correct": 57, "002": 57, "serv": 57, "var": 57, "ax": 57, "subplot": 57, "fill_between": 57, "color": 57, "blue": [57, 60], "collect": 57, "polycollect": 57, "0x7f81613d8370": 57, "0x7f8130b84070": 57, "mpi4pi": 57, "enabl": 57, "comm_world": 57, "constructor": 57, "try": [58, 60], "skip": 58, "origin": [58, 60], "treat": 58, "01301176": 58, "01487066": [58, 61], "02044168": 58, "11680203": 58, "48876352": 58, "4971452": 58, "71079785": 58, "46385011": [58, 62], "68585446": [58, 62], "59219588": 58, "4985373": 58, "custom": 58, "phybo": 58, "048733": 58, "1022": 58, "963795": 58, "5734": 58, "80": [58, 61], "5000": [58, 59, 60, 62], "0x7fe0d9310580": 58, "0x7fe0d93eaaf0": 58, "suitabl": 59, "manual": 59, "flexibli": 59, "previou": [59, 61, 62], "1st": 59, "2nd": 59, "3rd": 59, "4th": 59, "pair": 60, "y_1": 60, "y_2": 60, "dot": 60, "y_p": 60, "longleftrightarrow": 60, "foral": 60, "le": 60, "land": 60, "y_j": 60, "_j": 60, "larger": 60, "deterior": 60, "trade": 60, "off": 60, "effici": 60, "vlmop2": 60, "benchmark": 60, "vec": 60, "sum_": 60, "x_i": 60, "x_1": 60, "x_2": 60, "x_n": 60, "again": [60, 62], "refernc": 60, "van": 60, "veldhuizen": 60, "david": 60, "evolutionari": 60, "classif": 60, "analys": 60, "innov": 60, "No": 60, "afit": 60, "eng": 60, "99": 60, "01": 60, "air": 60, "forc": 60, "inst": 60, "OF": 60, "tech": 60, "wright": 60, "pattersonafb": 60, "oh": 60, "engin": 60, "1999": 60, "vlmop2_minu": 60, "y1": 60, "sum": 60, "axi": 60, "y2": 60, "c_": 60, "101": 60, "product": 60, "96": 60, "92": 60, "10201": 60, "simu": 60, "peak": 60, "corner": 60, "star": 60, "posit": 60, "figur": 60, "imshow": 60, "vmin": 60, "vmax": 60, "extent": 60, "colorbar": 60, "usual": 60, "roughli": 60, "res_random": 60, "front": 60, "front_num": 60, "95713719": 60, "09067194": 60, "92633083": 60, "29208351": 60, "63329589": 60, "52191048": 60, "72845916": 60, "26132949": 60, "87913689": 60, "17190645": 60, "91382463": 60, "40": 60, "29": 60, "41": 60, "red": 60, "plot_pareto_front": 60, "figsiz": 60, "scatter": 60, "xlabel": 60, "ylabel": 60, "xlim": 60, "ylim": 60, "inferior": 60, "occupi": 60, "subspac": 60, "2376881844865093": 60, "ivo": 60, "dirk": 60, "deschrijv": 60, "tom": 60, "dhaen": 60, "global": 60, "60": 60, "575": 60, "594": 60, "res_hvpi": 60, "compar": 60, "32877907991633726": 60, "res_ehvi": 60, "22": 60, "23": [60, 62], "3200467412741881": 60, "yahyaa": 60, "saba": 60, "q": 60, "bernard": 60, "manderick": 60, "arm": 60, "bandit": 60, "proc": 60, "eur": 60, "symp": 60, "artif": 60, "netw": 60, "intel": 60, "mach": 60, "2015": 60, "res_t": 60, "25": [60, 62], "26": [60, 62], "16415446221006114": 60, "easili": 60, "test_x_spars": 60, "simu_spars": 60, "res_al": 60, "28": 60, "30051687493437484": 60, "thu": [61, 62], "keep": 61, "mind": 61, "sim": 61, "123": 61, "22884748": 61, "05572838": 61, "allow": 61, "0x7f9950ec84f0": 61, "0x7f9920ef7460": 61, "0x7f9930b43f10": 61, "cannot": 62, "long": 62, "constraint": 62, "actoin": 62, "calculated_id": 62, "t_initi": 62, "12623": 62, "13781": 62, "1326": 62, "8484": 62, "16753": 62, "15922": 62, "13268": 62, "9938": 62, "15617": 62, "11732": 62, "7157": 62, "16537": 62, "4563": 62, "9235": 62, "4579": 62, "3107": 62, "8208": 62, "17451": 62, "4815": 62, "10162": 62, "09302189053099": 62, "11964735598211": 62, "24": 62, "83020118385076": 62, "817906570042602": 62, "42342027124426": 62, "822598600211865": 62, "27": 62, "10872736571494": 62, "331572599126865": 62, "517235815448124": 62, "67892333553869": 62, "82299469827059": 62, "73": 62, "6680279": 62}, "objects": {"": [[3, 0, 0, "-", "physbo"]], "physbo": [[4, 0, 0, "-", "blm"], [17, 0, 0, "-", "gp"], [32, 0, 0, "-", "misc"], [36, 0, 0, "-", "opt"], [38, 0, 0, "-", "predictor"], [39, 0, 0, "-", "search"], [50, 0, 0, "-", "variable"]], "physbo.blm": [[5, 0, 0, "-", "basis"], [7, 0, 0, "-", "core"], [9, 0, 0, "-", "inf"], [11, 0, 0, "-", "lik"], [14, 0, 0, "-", "predictor"], [15, 0, 0, "-", "prior"]], "physbo.blm.basis": [[6, 0, 0, "-", "fourier"]], "physbo.blm.basis.fourier": [[6, 1, 1, "", "fourier"]], "physbo.blm.basis.fourier.fourier": [[6, 2, 1, "", "get_basis"], [6, 3, 1, "", "nbasis"], [6, 3, 1, "", "params"], [6, 2, 1, "", "set_params"], [6, 2, 1, "", "show"]], "physbo.blm.core": [[8, 0, 0, "-", "model"]], "physbo.blm.core.model": [[8, 1, 1, "", "model"]], "physbo.blm.core.model.model": [[8, 2, 1, "", "get_post_fcov"], [8, 2, 1, "", "get_post_fmean"], [8, 2, 1, "", "get_post_params_mean"], [8, 3, 1, "", "lik"], [8, 3, 1, "", "method"], [8, 3, 1, "", "nbasis"], [8, 2, 1, "", "post_sampling"], [8, 2, 1, "", "predict_sampling"], [8, 2, 1, "", "prepare"], [8, 3, 1, "", "prior"], [8, 2, 1, "", "sampling"], [8, 3, 1, "", "stats"], [8, 2, 1, "", "update_stats"]], "physbo.blm.inf": [[10, 0, 0, "-", "exact"]], "physbo.blm.inf.exact": [[10, 4, 1, "", "get_post_fcov"], [10, 4, 1, "", "get_post_fmean"], [10, 4, 1, "", "get_post_params_mean"], [10, 4, 1, "", "prepare"], [10, 4, 1, "", "sampling"], [10, 4, 1, "", "update_stats"]], "physbo.blm.lik": [[12, 0, 0, "-", "gauss"], [13, 0, 0, "-", "linear"]], "physbo.blm.lik.gauss": [[12, 1, 1, "", "gauss"]], "physbo.blm.lik.gauss.gauss": [[12, 3, 1, "", "cov"], [12, 2, 1, "", "get_basis"], [12, 2, 1, "", "get_cov"], [12, 2, 1, "", "get_mean"], [12, 2, 1, "", "get_prec"], [12, 3, 1, "", "linear"], [12, 2, 1, "", "sampling"], [12, 2, 1, "", "set_bias"], [12, 2, 1, "", "set_params"], [12, 3, 1, "", "stats"]], "physbo.blm.lik.linear": [[13, 1, 1, "", "linear"]], "physbo.blm.lik.linear.linear": [[13, 3, 1, "", "_init_params"], [13, 3, 1, "", "basis"], [13, 3, 1, "", "bias"], [13, 2, 1, "", "get_mean"], [13, 3, 1, "", "nbasis"], [13, 3, 1, "", "params"], [13, 2, 1, "", "set_bias"], [13, 2, 1, "", "set_params"]], "physbo.blm.predictor": [[14, 1, 1, "", "predictor"]], "physbo.blm.predictor.predictor": [[14, 3, 1, "", "blm"], [14, 3, 1, "", "config"], [14, 2, 1, "", "delete_stats"], [14, 2, 1, "", "fit"], [14, 2, 1, "", "get_basis"], [14, 2, 1, "", "get_post_fcov"], [14, 2, 1, "", "get_post_fmean"], [14, 2, 1, "", "get_post_params"], [14, 2, 1, "", "get_post_samples"], [14, 2, 1, "", "get_predict_samples"], [14, 2, 1, "", "prepare"], [14, 2, 1, "", "update"]], "physbo.blm.prior": [[16, 0, 0, "-", "gauss"]], "physbo.blm.prior.gauss": [[16, 1, 1, "", "cov_const"], [16, 1, 1, "", "gauss"]], "physbo.blm.prior.gauss.cov_const": [[16, 2, 1, "", "get_cov"], [16, 2, 1, "", "get_prec"], [16, 3, 1, "", "params"], [16, 3, 1, "", "prec"], [16, 2, 1, "", "set_params"], [16, 3, 1, "", "sigma2"]], "physbo.blm.prior.gauss.gauss": [[16, 3, 1, "", "cov"], [16, 2, 1, "", "get_cov"], [16, 2, 1, "", "get_mean"], [16, 2, 1, "", "get_prec"], [16, 3, 1, "", "nbasis"], [16, 2, 1, "", "set_params"]], "physbo.gp": [[18, 0, 0, "-", "core"], [22, 0, 0, "-", "cov"], [24, 0, 0, "-", "inf"], [26, 0, 0, "-", "lik"], [28, 0, 0, "-", "mean"], [31, 0, 0, "-", "predictor"]], "physbo.gp.core": [[19, 0, 0, "-", "learning"], [20, 0, 0, "-", "model"], [21, 0, 0, "-", "prior"]], "physbo.gp.core.learning": [[19, 1, 1, "", "adam"], [19, 1, 1, "", "batch"], [19, 1, 1, "", "online"]], "physbo.gp.core.learning.adam": [[19, 2, 1, "", "get_one_update"], [19, 2, 1, "", "reset"]], "physbo.gp.core.learning.batch": [[19, 2, 1, "", "init_params_search"], [19, 2, 1, "", "one_run"], [19, 2, 1, "", "run"]], "physbo.gp.core.learning.online": [[19, 2, 1, "", "disp_marlik"], [19, 2, 1, "", "get_one_update"], [19, 2, 1, "", "init_params_search"], [19, 2, 1, "", "one_run"], [19, 2, 1, "", "run"]], "physbo.gp.core.model": [[20, 1, 1, "", "model"]], "physbo.gp.core.model.model": [[20, 2, 1, "", "cat_params"], [20, 2, 1, "", "decomp_params"], [20, 2, 1, "", "eval_marlik"], [20, 2, 1, "", "export_blm"], [20, 2, 1, "", "fit"], [20, 2, 1, "", "get_cand_params"], [20, 2, 1, "", "get_grad_marlik"], [20, 2, 1, "", "get_params_bound"], [20, 2, 1, "", "get_post_fcov"], [20, 2, 1, "", "get_post_fmean"], [20, 2, 1, "", "post_sampling"], [20, 2, 1, "", "predict_sampling"], [20, 2, 1, "", "prepare"], [20, 2, 1, "", "print_params"], [20, 2, 1, "", "set_params"], [20, 2, 1, "", "sub_sampling"]], "physbo.gp.core.prior": [[21, 1, 1, "", "prior"]], "physbo.gp.core.prior.prior": [[21, 2, 1, "", "cat_params"], [21, 2, 1, "", "decomp_params"], [21, 2, 1, "", "get_cov"], [21, 2, 1, "", "get_grad_cov"], [21, 2, 1, "", "get_grad_mean"], [21, 2, 1, "", "get_mean"], [21, 2, 1, "", "sampling"], [21, 2, 1, "", "set_cov_params"], [21, 2, 1, "", "set_mean_params"], [21, 2, 1, "", "set_params"]], "physbo.gp.cov": [[23, 0, 0, "-", "gauss"]], "physbo.gp.cov.gauss": [[23, 1, 1, "", "gauss"]], "physbo.gp.cov.gauss.gauss": [[23, 2, 1, "", "cat_params"], [23, 2, 1, "", "decomp_params"], [23, 2, 1, "", "get_cand_params"], [23, 2, 1, "", "get_cov"], [23, 2, 1, "", "get_grad"], [23, 2, 1, "", "get_params_bound"], [23, 2, 1, "", "load"], [23, 2, 1, "", "prepare"], [23, 2, 1, "", "print_params"], [23, 2, 1, "", "rand_expans"], [23, 2, 1, "", "save"], [23, 2, 1, "", "set_params"], [23, 2, 1, "", "supp_params"]], "physbo.gp.inf": [[25, 0, 0, "-", "exact"]], "physbo.gp.inf.exact": [[25, 4, 1, "", "eval_marlik"], [25, 4, 1, "", "get_grad_marlik"], [25, 4, 1, "", "get_post_fcov"], [25, 4, 1, "", "get_post_fmean"], [25, 4, 1, "", "prepare"]], "physbo.gp.lik": [[27, 0, 0, "-", "gauss"]], "physbo.gp.lik.gauss": [[27, 1, 1, "", "gauss"]], "physbo.gp.lik.gauss.gauss": [[27, 2, 1, "", "get_cand_params"], [27, 2, 1, "", "get_cov"], [27, 2, 1, "", "get_grad"], [27, 2, 1, "", "get_params_bound"], [27, 2, 1, "", "sampling"], [27, 2, 1, "", "set_params"], [27, 2, 1, "", "supp_params"], [27, 2, 1, "", "trans_params"]], "physbo.gp.mean": [[29, 0, 0, "-", "const"], [30, 0, 0, "-", "zero"]], "physbo.gp.mean.const": [[29, 1, 1, "", "const"]], "physbo.gp.mean.const.const": [[29, 2, 1, "", "get_cand_params"], [29, 2, 1, "", "get_grad"], [29, 2, 1, "", "get_mean"], [29, 2, 1, "", "get_params_bound"], [29, 2, 1, "", "init_params"], [29, 2, 1, "", "set_params"], [29, 2, 1, "", "supp_params"]], "physbo.gp.mean.zero": [[30, 1, 1, "", "zero"]], "physbo.gp.mean.zero.zero": [[30, 2, 1, "", "get_grad"], [30, 2, 1, "", "get_mean"], [30, 2, 1, "", "set_params"]], "physbo.gp.predictor": [[31, 1, 1, "", "predictor"]], "physbo.gp.predictor.predictor": [[31, 2, 1, "", "delete_stats"], [31, 2, 1, "", "fit"], [31, 2, 1, "", "get_basis"], [31, 2, 1, "", "get_post_fcov"], [31, 2, 1, "", "get_post_fmean"], [31, 2, 1, "", "get_post_params"], [31, 2, 1, "", "get_post_samples"], [31, 2, 1, "", "get_predict_samples"], [31, 2, 1, "", "prepare"], [31, 2, 1, "", "update"]], "physbo.misc": [[33, 0, 0, "-", "centering"], [34, 0, 0, "-", "gauss_elim"], [35, 0, 0, "-", "set_config"]], "physbo.misc.centering": [[33, 4, 1, "", "centering"]], "physbo.misc.gauss_elim": [[34, 4, 1, "", "gauss_elim"]], "physbo.misc.set_config": [[35, 1, 1, "", "adam"], [35, 1, 1, "", "batch"], [35, 4, 1, "", "boolean"], [35, 1, 1, "", "learning"], [35, 1, 1, "", "online"], [35, 1, 1, "", "search"], [35, 1, 1, "", "set_config"]], "physbo.misc.set_config.adam": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.batch": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.learning": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.online": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.search": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.set_config": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.opt": [[37, 0, 0, "-", "adam"]], "physbo.opt.adam": [[37, 1, 1, "", "adam"]], "physbo.opt.adam.adam": [[37, 3, 1, "", "alpha"], [37, 3, 1, "", "beta"], [37, 3, 1, "", "epoch"], [37, 3, 1, "", "epsilon"], [37, 3, 1, "", "gamma"], [37, 3, 1, "", "grad"], [37, 3, 1, "", "m"], [37, 3, 1, "", "max_epoch"], [37, 3, 1, "", "nparams"], [37, 3, 1, "", "params"], [37, 2, 1, "", "run"], [37, 2, 1, "", "set_params"], [37, 2, 1, "", "update"], [37, 3, 1, "", "v"]], "physbo.predictor": [[38, 1, 1, "", "base_predictor"]], "physbo.predictor.base_predictor": [[38, 2, 1, "", "delete_stats"], [38, 2, 1, "", "fit"], [38, 2, 1, "", "get_basis"], [38, 2, 1, "", "get_post_fcov"], [38, 2, 1, "", "get_post_fmean"], [38, 2, 1, "", "get_post_params"], [38, 2, 1, "", "get_post_params_samples"], [38, 2, 1, "", "get_post_samples"], [38, 2, 1, "", "get_predict_samples"], [38, 2, 1, "", "load"], [38, 2, 1, "", "prepare"], [38, 2, 1, "", "save"], [38, 2, 1, "", "update"]], "physbo.search": [[40, 0, 0, "-", "discrete"], [43, 0, 0, "-", "discrete_multi"], [46, 0, 0, "-", "pareto"], [47, 0, 0, "-", "score"], [48, 0, 0, "-", "score_multi"], [49, 0, 0, "-", "utility"]], "physbo.search.discrete": [[41, 0, 0, "-", "policy"], [42, 0, 0, "-", "results"]], "physbo.search.discrete.policy": [[41, 1, 1, "", "policy"]], "physbo.search.discrete.policy.policy": [[41, 2, 1, "", "bayes_search"], [41, 2, 1, "", "export_history"], [41, 2, 1, "", "export_predictor"], [41, 2, 1, "", "export_training"], [41, 2, 1, "", "get_post_fcov"], [41, 2, 1, "", "get_post_fmean"], [41, 2, 1, "", "get_score"], [41, 2, 1, "", "load"], [41, 2, 1, "", "random_search"], [41, 2, 1, "", "save"], [41, 2, 1, "", "set_seed"], [41, 2, 1, "", "write"]], "physbo.search.discrete.results": [[42, 1, 1, "", "history"]], "physbo.search.discrete.results.history": [[42, 2, 1, "", "export_all_sequence_best_fx"], [42, 2, 1, "", "export_sequence_best_fx"], [42, 2, 1, "", "load"], [42, 2, 1, "", "save"], [42, 5, 1, "", "time_get_action"], [42, 5, 1, "", "time_run_simulator"], [42, 5, 1, "", "time_total"], [42, 5, 1, "", "time_update_predictor"], [42, 2, 1, "", "write"]], "physbo.search.discrete_multi": [[44, 0, 0, "-", "policy"], [45, 0, 0, "-", "results"]], "physbo.search.discrete_multi.policy": [[44, 1, 1, "", "policy"]], "physbo.search.discrete_multi.policy.policy": [[44, 2, 1, "", "bayes_search"], [44, 2, 1, "", "get_post_fcov"], [44, 2, 1, "", "get_post_fmean"], [44, 2, 1, "", "get_score"], [44, 2, 1, "", "load"], [44, 2, 1, "", "load_predictor_list"], [44, 2, 1, "", "load_training_list"], [44, 3, 1, "", "new_data_list"], [44, 2, 1, "", "random_search"], [44, 2, 1, "", "save"], [44, 2, 1, "", "save_predictor_list"], [44, 2, 1, "", "save_training_list"], [44, 2, 1, "", "write"]], "physbo.search.discrete_multi.results": [[45, 1, 1, "", "history"]], "physbo.search.discrete_multi.results.history": [[45, 2, 1, "", "export_pareto_front"], [45, 2, 1, "", "load"], [45, 2, 1, "", "save"], [45, 5, 1, "", "time_get_action"], [45, 5, 1, "", "time_run_simulator"], [45, 5, 1, "", "time_total"], [45, 5, 1, "", "time_update_predictor"], [45, 2, 1, "", "write"]], "physbo.search.pareto": [[46, 1, 1, "", "Pareto"], [46, 1, 1, "", "Rectangles"], [46, 4, 1, "", "dominate"]], "physbo.search.pareto.Pareto": [[46, 2, 1, "", "divide_non_dominated_region"], [46, 2, 1, "", "export_front"], [46, 2, 1, "", "set_reference_max"], [46, 2, 1, "", "set_reference_min"], [46, 2, 1, "", "update_front"], [46, 2, 1, "", "volume_in_dominance"]], "physbo.search.pareto.Rectangles": [[46, 2, 1, "", "add"]], "physbo.search.score": [[47, 4, 1, "", "EI"], [47, 4, 1, "", "PI"], [47, 4, 1, "", "TS"], [47, 4, 1, "", "score"]], "physbo.search.score_multi": [[48, 4, 1, "", "EHVI"], [48, 4, 1, "", "HVPI"], [48, 4, 1, "", "TS"], [48, 4, 1, "", "score"]], "physbo.search.utility": [[49, 4, 1, "", "is_learning"], [49, 4, 1, "", "length_vector"], [49, 4, 1, "", "show_interactive_mode"], [49, 4, 1, "", "show_search_results"], [49, 4, 1, "", "show_search_results_mo"], [49, 4, 1, "", "show_start_message_multi_search"]], "physbo.variable": [[50, 1, 1, "", "variable"]], "physbo.variable.variable": [[50, 2, 1, "", "add"], [50, 2, 1, "", "add_X"], [50, 2, 1, "", "add_Z"], [50, 2, 1, "", "add_t"], [50, 2, 1, "", "delete"], [50, 2, 1, "", "delete_X"], [50, 2, 1, "", "delete_Z"], [50, 2, 1, "", "delete_t"], [50, 2, 1, "", "get_subset"], [50, 2, 1, "", "load"], [50, 2, 1, "", "save"]]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:attribute", "4": "py:function", "5": "py:property"}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "attribute", "Python attribute"], "4": ["py", "function", "Python function"], "5": ["py", "property", "Python property"]}, "titleterms": {"acknowledg": 0, "algorithm": 1, "bayesian": [1, 57, 58, 60], "optim": [1, 57, 58, 59, 60, 61], "acceler": 1, "physbo": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 54, 57, 58, 59, 62], "packag": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43, 53], "subpackag": [3, 4, 17, 39], "submodul": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43], "modul": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], "content": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43, 52, 55], "blm": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "basi": [5, 6], "fourier": 6, "core": [7, 8, 18, 19, 20, 21], "model": [8, 20, 56], "inf": [9, 10, 24, 25], "exact": [10, 25], "lik": [11, 12, 13, 26, 27], "gauss": [12, 16, 23, 27], "linear": 13, "predictor": [14, 31, 38], "prior": [15, 16, 21], "gp": [17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], "learn": [19, 56], "cov": [22, 23], "mean": [28, 29, 30], "const": 29, "zero": 30, "misc": [32, 33, 34, 35], "center": 33, "gauss_elim": 34, "set_config": 35, "opt": [36, 37], "adam": 37, "search": [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 56, 57, 58, 59, 60, 61, 62], "discret": [40, 41, 42], "polici": [41, 44, 57, 58, 60], "result": [42, 45, 57, 58, 60, 61, 62], "discrete_multi": [43, 44, 45], "pareto": [46, 60], "score": 47, "score_multi": 48, "util": 49, "variabl": 50, "contact": 51, "welcom": 52, "": 52, "document": 52, "basic": [53, 57, 58], "usag": [53, 57, 58], "instal": 53, "requir": 53, "download": 53, "uninstal": 53, "structur": 53, "calcul": [53, 60, 62], "flow": 53, "introduct": [54, 57, 58], "about": 54, "citat": 54, "main": 54, "develop": 54, "licens": 54, "tutori": 55, "gaussian": 56, "process": 56, "prepar": [56, 58, 59, 60, 61, 62], "candid": [56, 58, 59, 60, 61, 62], "data": [56, 58, 59, 60, 61, 62], "defin": [56, 57], "train": 56, "predict": [56, 57], "space": 57, "simul": [57, 58, 59, 60, 61], "class": 57, "perform": [57, 58, 60, 61], "set": [57, 58, 60], "random": [57, 58, 60], "check": [57, 58, 60, 61], "serial": [57, 58], "acquisit": 57, "function": [57, 60], "parallel": 57, "definit": [58, 59, 60, 61], "run": 59, "interact": 59, "execut": [59, 62], "suspend": 59, "restart": [59, 62], "multi": 60, "object": 60, "test": 60, "plot": 60, "first": 60, "second": 60, "obtain": 60, "solut": 60, "evalu": [60, 62], "valu": [60, 62], "volum": 60, "domin": 60, "region": 60, "hvpi": 60, "hypervolum": 60, "base": 60, "probabl": 60, "improv": 60, "ehvi": 60, "expect": 60, "hyper": 60, "t": 60, "thompson": 60, "sampl": 60, "appendix": 60, "full": 60, "multipl": 61, "onc": 61, "read": 62, "exist": 62, "precomput": 62, "regist": 62, "action": 62, "id": 62, "paramet": 62, "get": 62, "next": 62, "from": 62}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1, "nbsphinx": 4, "sphinx": 60}, "alltitles": {"Acknowledgement": [[0, "acknowledgement"]], "Algorithm": [[1, "algorithm"]], "Bayesian optimization": [[1, "bayesian-optimization"], [60, "Bayesian-optimization"]], "Accelerating Bayesian Optimization with PHYSBO": [[1, "accelerating-bayesian-optimization-with-physbo"]], "physbo": [[2, "physbo"]], "physbo package": [[3, "physbo-package"]], "Subpackages": [[3, "subpackages"], [4, "subpackages"], [17, "subpackages"], [39, "subpackages"]], "Submodules": [[3, "submodules"], [4, "submodules"], [5, "submodules"], [7, "submodules"], [9, "submodules"], [11, "submodules"], [15, "submodules"], [17, "submodules"], [18, "submodules"], [22, "submodules"], [24, "submodules"], [26, "submodules"], [28, "submodules"], [32, "submodules"], [36, "submodules"], [39, "submodules"], [40, "submodules"], [43, "submodules"]], "Module contents": [[3, "module-physbo"], [4, "module-physbo.blm"], [5, "module-physbo.blm.basis"], [7, "module-physbo.blm.core"], [9, "module-physbo.blm.inf"], [11, "module-physbo.blm.lik"], [15, "module-physbo.blm.prior"], [17, "module-physbo.gp"], [18, "module-physbo.gp.core"], [22, "module-physbo.gp.cov"], [24, "module-physbo.gp.inf"], [26, "module-physbo.gp.lik"], [28, "module-physbo.gp.mean"], [32, "module-physbo.misc"], [36, "module-physbo.opt"], [39, "module-physbo.search"], [40, "module-physbo.search.discrete"], [43, "module-physbo.search.discrete_multi"]], "physbo.blm package": [[4, "physbo-blm-package"]], "physbo.blm.basis package": [[5, "physbo-blm-basis-package"]], "physbo.blm.basis.fourier module": [[6, "module-physbo.blm.basis.fourier"]], "physbo.blm.core package": [[7, "physbo-blm-core-package"]], "physbo.blm.core.model module": [[8, "module-physbo.blm.core.model"]], "physbo.blm.inf package": [[9, "physbo-blm-inf-package"]], "physbo.blm.inf.exact module": [[10, "module-physbo.blm.inf.exact"]], "physbo.blm.lik package": [[11, "physbo-blm-lik-package"]], "physbo.blm.lik.gauss module": [[12, "module-physbo.blm.lik.gauss"]], "physbo.blm.lik.linear module": [[13, "module-physbo.blm.lik.linear"]], "physbo.blm.predictor module": [[14, "module-physbo.blm.predictor"]], "physbo.blm.prior package": [[15, "physbo-blm-prior-package"]], "physbo.blm.prior.gauss module": [[16, "module-physbo.blm.prior.gauss"]], "physbo.gp package": [[17, "physbo-gp-package"]], "physbo.gp.core package": [[18, "physbo-gp-core-package"]], "physbo.gp.core.learning module": [[19, "module-physbo.gp.core.learning"]], "physbo.gp.core.model module": [[20, "module-physbo.gp.core.model"]], "physbo.gp.core.prior module": [[21, "module-physbo.gp.core.prior"]], "physbo.gp.cov package": [[22, "physbo-gp-cov-package"]], "physbo.gp.cov.gauss module": [[23, "module-physbo.gp.cov.gauss"]], "physbo.gp.inf package": [[24, "physbo-gp-inf-package"]], "physbo.gp.inf.exact module": [[25, "module-physbo.gp.inf.exact"]], "physbo.gp.lik package": [[26, "physbo-gp-lik-package"]], "physbo.gp.lik.gauss module": [[27, "module-physbo.gp.lik.gauss"]], "physbo.gp.mean package": [[28, "physbo-gp-mean-package"]], "physbo.gp.mean.const module": [[29, "module-physbo.gp.mean.const"]], "physbo.gp.mean.zero module": [[30, "module-physbo.gp.mean.zero"]], "physbo.gp.predictor module": [[31, "module-physbo.gp.predictor"]], "physbo.misc package": [[32, "physbo-misc-package"]], "physbo.misc.centering module": [[33, "module-physbo.misc.centering"]], "physbo.misc.gauss_elim module": [[34, "module-physbo.misc.gauss_elim"]], "physbo.misc.set_config module": [[35, "module-physbo.misc.set_config"]], "physbo.opt package": [[36, "physbo-opt-package"]], "physbo.opt.adam module": [[37, "module-physbo.opt.adam"]], "physbo.predictor module": [[38, "module-physbo.predictor"]], "physbo.search package": [[39, "physbo-search-package"]], "physbo.search.discrete package": [[40, "physbo-search-discrete-package"]], "physbo.search.discrete.policy module": [[41, "module-physbo.search.discrete.policy"]], "physbo.search.discrete.results module": [[42, "module-physbo.search.discrete.results"]], "physbo.search.discrete_multi package": [[43, "physbo-search-discrete-multi-package"]], "physbo.search.discrete_multi.policy module": [[44, "module-physbo.search.discrete_multi.policy"]], "physbo.search.discrete_multi.results module": [[45, "module-physbo.search.discrete_multi.results"]], "physbo.search.pareto module": [[46, "module-physbo.search.pareto"]], "physbo.search.score module": [[47, "module-physbo.search.score"]], "physbo.search.score_multi module": [[48, "module-physbo.search.score_multi"]], "physbo.search.utility module": [[49, "module-physbo.search.utility"]], "physbo.variable module": [[50, "module-physbo.variable"]], "Contact": [[51, "contact"]], "Welcome to PHYSBO\u2019s documentation!": [[52, "welcome-to-physbo-s-documentation"]], "Contents:": [[52, null], [55, null]], "Basic usage": [[53, "basic-usage"]], "Install": [[53, "install"]], "Required Packages": [[53, "required-packages"]], "Download and Install": [[53, "download-and-install"]], "Uninstall": [[53, "uninstall"]], "Basic structures": [[53, "basic-structures"]], "Calculation flow": [[53, "calculation-flow"]], "Introduction": [[54, "introduction"], [57, "Introduction"], [58, "Introduction"]], "About PHYSBO": [[54, "about-physbo"]], "Citation": [[54, "citation"]], "Main Developers": [[54, "main-developers"]], "License": [[54, "license"]], "Tutorials": [[55, "tutorials"]], "Gaussian process": [[56, "Gaussian-process"]], "Preparation of search candidate data": [[56, "Preparation-of-search-candidate-data"], [58, "Preparation-of-search-candidate-data"], [59, "Preparation-of-search-candidate-data"], [60, "Preparation-of-search-candidate-data"]], "Defining training data": [[56, "Defining-training-data"]], "Learning and Prediction of Gaussian Processes": [[56, "Learning-and-Prediction-of-Gaussian-Processes"]], "Prediction by trained models": [[56, "Prediction-by-trained-models"]], "Basic usage of PHYSBO": [[57, "Basic-usage-of-PHYSBO"], [58, "Basic-usage-of-PHYSBO"]], "Defining the search space": [[57, "Defining-the-search-space"]], "Defining the simulator class": [[57, "Defining-the-simulator-class"]], "Performing optimization": [[57, "Performing-optimization"], [58, "Performing-optimization"]], "Setting policy": [[57, "Setting-policy"], [58, "Setting-policy"], [60, "Setting-policy"]], "Random Search": [[57, "Random-Search"], [58, "Random-Search"]], "Bayesian Optimization": [[57, "Bayesian-Optimization"], [58, "Bayesian-Optimization"]], "Checking the results": [[57, "Checking-the-results"], [58, "Checking-the-results"]], "Serializing the results": [[57, "Serializing-the-results"], [58, "Serializing-the-results"]], "Prediction": [[57, "Prediction"]], "Acquisition function": [[57, "Acquisition-function"]], "Parallelization": [[57, "Parallelization"]], "Definition of simulator": [[58, "Definition-of-simulator"], [59, "Definition-of-simulator"], [60, "Definition-of-simulator"], [61, "Definition-of-simulator"]], "Running PHYSBO interactively": [[59, "Running-PHYSBO-interactively"]], "Executing optimization": [[59, "Executing-optimization"]], "Suspend and restart": [[59, "Suspend-and-restart"]], "Multi-objective optimization": [[60, "Multi-objective-optimization"]], "Test functions": [[60, "Test-functions"]], "Plotting the functions": [[60, "Plotting-the-functions"]], "First objective function": [[60, "First-objective-function"]], "Second objective function": [[60, "Second-objective-function"]], "Performing optimizations.": [[60, "Performing-optimizations."]], "Random search": [[60, "Random-search"]], "Checking results": [[60, "Checking-results"], [61, "Checking-results"]], "Obtaining the Pareto solution": [[60, "Obtaining-the-Pareto-solution"]], "Plotting the solution (evaluated value)": [[60, "Plotting-the-solution-(evaluated-value)"]], "Calculate the volume of the dominated region": [[60, "Calculate-the-volume-of-the-dominated-region"]], "HVPI (HyperVolume-based Probability of Improvement)": [[60, "HVPI-(HyperVolume-based-Probability-of-Improvement)"]], "Plotting the Pareto solution": [[60, "Plotting-the-Pareto-solution"], [60, "id1"], [60, "id3"]], "Volume of dominated region": [[60, "Volume-of-dominated-region"], [60, "id2"], [60, "id4"]], "EHVI (Expected Hyper-Volume Improvement)": [[60, "EHVI-(Expected-Hyper-Volume-Improvement)"]], "TS (Thompson Sampling)": [[60, "TS-(Thompson-Sampling)"]], "Appendix: Full search": [[60, "Appendix:-Full-search"]], "Search multiple candidates at once": [[61, "Search-multiple-candidates-at-once"]], "Prepare the search candidate data": [[61, "Prepare-the-search-candidate-data"], [62, "Prepare-the-search-candidate-data"]], "Performing optimizations": [[61, "Performing-optimizations"]], "Restart calculations by reading existing calculation results": [[62, "Restart-calculations-by-reading-existing-calculation-results"]], "Preparing the precomputed data": [[62, "Preparing-the-precomputed-data"]], "Register action ID (parameter) and evaluation value to PHYSBO.": [[62, "Register-action-ID-(parameter)-and-evaluation-value-to-PHYSBO."]], "Get the next parameter to be executed from PHYSBO": [[62, "Get-the-next-parameter-to-be-executed-from-PHYSBO"]]}, "indexentries": {"module": [[3, "module-physbo"], [4, "module-physbo.blm"], [5, "module-physbo.blm.basis"], [6, "module-physbo.blm.basis.fourier"], [7, "module-physbo.blm.core"], [8, "module-physbo.blm.core.model"], [9, "module-physbo.blm.inf"], [10, "module-physbo.blm.inf.exact"], [11, "module-physbo.blm.lik"], [12, "module-physbo.blm.lik.gauss"], [13, "module-physbo.blm.lik.linear"], [14, "module-physbo.blm.predictor"], [15, "module-physbo.blm.prior"], [16, "module-physbo.blm.prior.gauss"], [17, "module-physbo.gp"], [18, "module-physbo.gp.core"], [19, "module-physbo.gp.core.learning"], [20, "module-physbo.gp.core.model"], [21, "module-physbo.gp.core.prior"], [22, "module-physbo.gp.cov"], [23, "module-physbo.gp.cov.gauss"], [24, "module-physbo.gp.inf"], [25, "module-physbo.gp.inf.exact"], [26, "module-physbo.gp.lik"], [27, "module-physbo.gp.lik.gauss"], [28, "module-physbo.gp.mean"], [29, "module-physbo.gp.mean.const"], [30, "module-physbo.gp.mean.zero"], [31, "module-physbo.gp.predictor"], [32, "module-physbo.misc"], [33, "module-physbo.misc.centering"], [34, "module-physbo.misc.gauss_elim"], [35, "module-physbo.misc.set_config"], [36, "module-physbo.opt"], [37, "module-physbo.opt.adam"], [38, "module-physbo.predictor"], [39, "module-physbo.search"], [40, "module-physbo.search.discrete"], [41, "module-physbo.search.discrete.policy"], [42, "module-physbo.search.discrete.results"], [43, "module-physbo.search.discrete_multi"], [44, "module-physbo.search.discrete_multi.policy"], [45, "module-physbo.search.discrete_multi.results"], [46, "module-physbo.search.pareto"], [47, "module-physbo.search.score"], [48, "module-physbo.search.score_multi"], [49, "module-physbo.search.utility"], [50, "module-physbo.variable"]], "physbo": [[3, "module-physbo"]], "physbo.blm": [[4, "module-physbo.blm"]], "physbo.blm.basis": [[5, "module-physbo.blm.basis"]], "fourier (class in physbo.blm.basis.fourier)": [[6, "physbo.blm.basis.fourier.fourier"]], "get_basis() (physbo.blm.basis.fourier.fourier method)": [[6, "physbo.blm.basis.fourier.fourier.get_basis"]], "nbasis (physbo.blm.basis.fourier.fourier attribute)": [[6, "physbo.blm.basis.fourier.fourier.nbasis"]], "params (physbo.blm.basis.fourier.fourier attribute)": [[6, "physbo.blm.basis.fourier.fourier.params"]], "physbo.blm.basis.fourier": [[6, "module-physbo.blm.basis.fourier"]], "set_params() (physbo.blm.basis.fourier.fourier method)": [[6, "physbo.blm.basis.fourier.fourier.set_params"]], "show() (physbo.blm.basis.fourier.fourier method)": [[6, "physbo.blm.basis.fourier.fourier.show"]], "physbo.blm.core": [[7, "module-physbo.blm.core"]], "get_post_fcov() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.get_post_fcov"]], "get_post_fmean() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.get_post_fmean"]], "get_post_params_mean() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.get_post_params_mean"]], "lik (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.lik"]], "method (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.method"]], "model (class in physbo.blm.core.model)": [[8, "physbo.blm.core.model.model"]], "nbasis (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.nbasis"]], "physbo.blm.core.model": [[8, "module-physbo.blm.core.model"]], "post_sampling() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.post_sampling"]], "predict_sampling() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.predict_sampling"]], "prepare() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.prepare"]], "prior (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.prior"]], "sampling() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.sampling"]], "stats (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.stats"]], "update_stats() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.update_stats"]], "physbo.blm.inf": [[9, "module-physbo.blm.inf"]], "get_post_fcov() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.get_post_fcov"]], "get_post_fmean() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.get_post_fmean"]], "get_post_params_mean() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.get_post_params_mean"]], "physbo.blm.inf.exact": [[10, "module-physbo.blm.inf.exact"]], "prepare() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.prepare"]], "sampling() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.sampling"]], "update_stats() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.update_stats"]], "physbo.blm.lik": [[11, "module-physbo.blm.lik"]], "cov (physbo.blm.lik.gauss.gauss attribute)": [[12, "physbo.blm.lik.gauss.gauss.cov"]], "gauss (class in physbo.blm.lik.gauss)": [[12, "physbo.blm.lik.gauss.gauss"]], "get_basis() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.get_basis"]], "get_cov() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.get_cov"]], "get_mean() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.get_mean"]], "get_prec() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.get_prec"]], "linear (physbo.blm.lik.gauss.gauss attribute)": [[12, "physbo.blm.lik.gauss.gauss.linear"]], "physbo.blm.lik.gauss": [[12, "module-physbo.blm.lik.gauss"]], "sampling() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.sampling"]], "set_bias() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.set_bias"]], "set_params() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.set_params"]], "stats (physbo.blm.lik.gauss.gauss attribute)": [[12, "physbo.blm.lik.gauss.gauss.stats"]], "_init_params (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear._init_params"]], "basis (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear.basis"]], "bias (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear.bias"]], "get_mean() (physbo.blm.lik.linear.linear method)": [[13, "physbo.blm.lik.linear.linear.get_mean"]], "linear (class in physbo.blm.lik.linear)": [[13, "physbo.blm.lik.linear.linear"]], "nbasis (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear.nbasis"]], "params (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear.params"]], "physbo.blm.lik.linear": [[13, "module-physbo.blm.lik.linear"]], "set_bias() (physbo.blm.lik.linear.linear method)": [[13, "physbo.blm.lik.linear.linear.set_bias"]], "set_params() (physbo.blm.lik.linear.linear method)": [[13, "physbo.blm.lik.linear.linear.set_params"]], "blm (physbo.blm.predictor.predictor attribute)": [[14, "physbo.blm.predictor.predictor.blm"]], "config (physbo.blm.predictor.predictor attribute)": [[14, "physbo.blm.predictor.predictor.config"]], "delete_stats() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.delete_stats"]], "fit() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.fit"]], "get_basis() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_basis"]], "get_post_fcov() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_post_fcov"]], "get_post_fmean() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_post_fmean"]], "get_post_params() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_post_params"]], "get_post_samples() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_post_samples"]], "get_predict_samples() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_predict_samples"]], "physbo.blm.predictor": [[14, "module-physbo.blm.predictor"]], "predictor (class in physbo.blm.predictor)": [[14, "physbo.blm.predictor.predictor"]], "prepare() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.prepare"]], "update() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.update"]], "physbo.blm.prior": [[15, "module-physbo.blm.prior"]], "cov (physbo.blm.prior.gauss.gauss attribute)": [[16, "physbo.blm.prior.gauss.gauss.cov"]], "cov_const (class in physbo.blm.prior.gauss)": [[16, "physbo.blm.prior.gauss.cov_const"]], "gauss (class in physbo.blm.prior.gauss)": [[16, "physbo.blm.prior.gauss.gauss"]], "get_cov() (physbo.blm.prior.gauss.cov_const method)": [[16, "physbo.blm.prior.gauss.cov_const.get_cov"]], "get_cov() (physbo.blm.prior.gauss.gauss method)": [[16, "physbo.blm.prior.gauss.gauss.get_cov"]], "get_mean() (physbo.blm.prior.gauss.gauss method)": [[16, "physbo.blm.prior.gauss.gauss.get_mean"]], "get_prec() (physbo.blm.prior.gauss.cov_const method)": [[16, "physbo.blm.prior.gauss.cov_const.get_prec"]], "get_prec() (physbo.blm.prior.gauss.gauss method)": [[16, "physbo.blm.prior.gauss.gauss.get_prec"]], "nbasis (physbo.blm.prior.gauss.gauss attribute)": [[16, "physbo.blm.prior.gauss.gauss.nbasis"]], "params (physbo.blm.prior.gauss.cov_const attribute)": [[16, "physbo.blm.prior.gauss.cov_const.params"]], "physbo.blm.prior.gauss": [[16, "module-physbo.blm.prior.gauss"]], "prec (physbo.blm.prior.gauss.cov_const attribute)": [[16, "physbo.blm.prior.gauss.cov_const.prec"]], "set_params() (physbo.blm.prior.gauss.cov_const method)": [[16, "physbo.blm.prior.gauss.cov_const.set_params"]], "set_params() (physbo.blm.prior.gauss.gauss method)": [[16, "physbo.blm.prior.gauss.gauss.set_params"]], "sigma2 (physbo.blm.prior.gauss.cov_const attribute)": [[16, "physbo.blm.prior.gauss.cov_const.sigma2"]], "physbo.gp": [[17, "module-physbo.gp"]], "physbo.gp.core": [[18, "module-physbo.gp.core"]], "adam (class in physbo.gp.core.learning)": [[19, "physbo.gp.core.learning.adam"]], "batch (class in physbo.gp.core.learning)": [[19, "physbo.gp.core.learning.batch"]], "disp_marlik() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.disp_marlik"]], "get_one_update() (physbo.gp.core.learning.adam method)": [[19, "physbo.gp.core.learning.adam.get_one_update"]], "get_one_update() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.get_one_update"]], "init_params_search() (physbo.gp.core.learning.batch method)": [[19, "physbo.gp.core.learning.batch.init_params_search"]], "init_params_search() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.init_params_search"]], "one_run() (physbo.gp.core.learning.batch method)": [[19, "physbo.gp.core.learning.batch.one_run"]], "one_run() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.one_run"]], "online (class in physbo.gp.core.learning)": [[19, "physbo.gp.core.learning.online"]], "physbo.gp.core.learning": [[19, "module-physbo.gp.core.learning"]], "reset() (physbo.gp.core.learning.adam method)": [[19, "physbo.gp.core.learning.adam.reset"]], "run() (physbo.gp.core.learning.batch method)": [[19, "physbo.gp.core.learning.batch.run"]], "run() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.run"]], "cat_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.cat_params"]], "decomp_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.decomp_params"]], "eval_marlik() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.eval_marlik"]], "export_blm() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.export_blm"]], "fit() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.fit"]], "get_cand_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_cand_params"]], "get_grad_marlik() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_grad_marlik"]], "get_params_bound() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_params_bound"]], "get_post_fcov() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_post_fcov"]], "get_post_fmean() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_post_fmean"]], "model (class in physbo.gp.core.model)": [[20, "physbo.gp.core.model.model"]], "physbo.gp.core.model": [[20, "module-physbo.gp.core.model"]], "post_sampling() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.post_sampling"]], "predict_sampling() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.predict_sampling"]], "prepare() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.prepare"]], "print_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.print_params"]], "set_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.set_params"]], "sub_sampling() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.sub_sampling"]], "cat_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.cat_params"]], "decomp_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.decomp_params"]], "get_cov() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.get_cov"]], "get_grad_cov() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.get_grad_cov"]], "get_grad_mean() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.get_grad_mean"]], "get_mean() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.get_mean"]], "physbo.gp.core.prior": [[21, "module-physbo.gp.core.prior"]], "prior (class in physbo.gp.core.prior)": [[21, "physbo.gp.core.prior.prior"]], "sampling() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.sampling"]], "set_cov_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.set_cov_params"]], "set_mean_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.set_mean_params"]], "set_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.set_params"]], "physbo.gp.cov": [[22, "module-physbo.gp.cov"]], "cat_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.cat_params"]], "decomp_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.decomp_params"]], "gauss (class in physbo.gp.cov.gauss)": [[23, "physbo.gp.cov.gauss.gauss"]], "get_cand_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.get_cand_params"]], "get_cov() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.get_cov"]], "get_grad() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.get_grad"]], "get_params_bound() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.get_params_bound"]], "load() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.load"]], "physbo.gp.cov.gauss": [[23, "module-physbo.gp.cov.gauss"]], "prepare() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.prepare"]], "print_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.print_params"]], "rand_expans() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.rand_expans"]], "save() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.save"]], "set_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.set_params"]], "supp_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.supp_params"]], "physbo.gp.inf": [[24, "module-physbo.gp.inf"]], "eval_marlik() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.eval_marlik"]], "get_grad_marlik() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.get_grad_marlik"]], "get_post_fcov() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.get_post_fcov"]], "get_post_fmean() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.get_post_fmean"]], "physbo.gp.inf.exact": [[25, "module-physbo.gp.inf.exact"]], "prepare() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.prepare"]], "physbo.gp.lik": [[26, "module-physbo.gp.lik"]], "gauss (class in physbo.gp.lik.gauss)": [[27, "physbo.gp.lik.gauss.gauss"]], "get_cand_params() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.get_cand_params"]], "get_cov() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.get_cov"]], "get_grad() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.get_grad"]], "get_params_bound() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.get_params_bound"]], "physbo.gp.lik.gauss": [[27, "module-physbo.gp.lik.gauss"]], "sampling() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.sampling"]], "set_params() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.set_params"]], "supp_params() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.supp_params"]], "trans_params() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.trans_params"]], "physbo.gp.mean": [[28, "module-physbo.gp.mean"]], "const (class in physbo.gp.mean.const)": [[29, "physbo.gp.mean.const.const"]], "get_cand_params() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.get_cand_params"]], "get_grad() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.get_grad"]], "get_mean() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.get_mean"]], "get_params_bound() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.get_params_bound"]], "init_params() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.init_params"]], "physbo.gp.mean.const": [[29, "module-physbo.gp.mean.const"]], "set_params() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.set_params"]], "supp_params() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.supp_params"]], "get_grad() (physbo.gp.mean.zero.zero method)": [[30, "physbo.gp.mean.zero.zero.get_grad"]], "get_mean() (physbo.gp.mean.zero.zero method)": [[30, "physbo.gp.mean.zero.zero.get_mean"]], "physbo.gp.mean.zero": [[30, "module-physbo.gp.mean.zero"]], "set_params() (physbo.gp.mean.zero.zero method)": [[30, "physbo.gp.mean.zero.zero.set_params"]], "zero (class in physbo.gp.mean.zero)": [[30, "physbo.gp.mean.zero.zero"]], "delete_stats() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.delete_stats"]], "fit() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.fit"]], "get_basis() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_basis"]], "get_post_fcov() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_post_fcov"]], "get_post_fmean() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_post_fmean"]], "get_post_params() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_post_params"]], "get_post_samples() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_post_samples"]], "get_predict_samples() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_predict_samples"]], "physbo.gp.predictor": [[31, "module-physbo.gp.predictor"]], "predictor (class in physbo.gp.predictor)": [[31, "physbo.gp.predictor.predictor"]], "prepare() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.prepare"]], "update() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.update"]], "physbo.misc": [[32, "module-physbo.misc"]], "centering() (in module physbo.misc.centering)": [[33, "physbo.misc.centering.centering"]], "physbo.misc.centering": [[33, "module-physbo.misc.centering"]], "gauss_elim() (in module physbo.misc.gauss_elim)": [[34, "physbo.misc.gauss_elim.gauss_elim"]], "physbo.misc.gauss_elim": [[34, "module-physbo.misc.gauss_elim"]], "adam (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.adam"]], "batch (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.batch"]], "boolean() (in module physbo.misc.set_config)": [[35, "physbo.misc.set_config.boolean"]], "learning (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.learning"]], "load() (physbo.misc.set_config.adam method)": [[35, "physbo.misc.set_config.adam.load"]], "load() (physbo.misc.set_config.batch method)": [[35, "physbo.misc.set_config.batch.load"]], "load() (physbo.misc.set_config.learning method)": [[35, "physbo.misc.set_config.learning.load"]], "load() (physbo.misc.set_config.online method)": [[35, "physbo.misc.set_config.online.load"]], "load() (physbo.misc.set_config.search method)": [[35, "physbo.misc.set_config.search.load"]], "load() (physbo.misc.set_config.set_config method)": [[35, "physbo.misc.set_config.set_config.load"]], "online (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.online"]], "physbo.misc.set_config": [[35, "module-physbo.misc.set_config"]], "search (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.search"]], "set_config (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.set_config"]], "show() (physbo.misc.set_config.adam method)": [[35, "physbo.misc.set_config.adam.show"]], "show() (physbo.misc.set_config.batch method)": [[35, "physbo.misc.set_config.batch.show"]], "show() (physbo.misc.set_config.learning method)": [[35, "physbo.misc.set_config.learning.show"]], "show() (physbo.misc.set_config.online method)": [[35, "physbo.misc.set_config.online.show"]], "show() (physbo.misc.set_config.search method)": [[35, "physbo.misc.set_config.search.show"]], "show() (physbo.misc.set_config.set_config method)": [[35, "physbo.misc.set_config.set_config.show"]], "physbo.opt": [[36, "module-physbo.opt"]], "adam (class in physbo.opt.adam)": [[37, "physbo.opt.adam.adam"]], "alpha (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.alpha"]], "beta (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.beta"]], "epoch (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.epoch"]], "epsilon (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.epsilon"]], "gamma (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.gamma"]], "grad (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.grad"]], "m (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.m"]], "max_epoch (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.max_epoch"]], "nparams (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.nparams"]], "params (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.params"]], "physbo.opt.adam": [[37, "module-physbo.opt.adam"]], "run() (physbo.opt.adam.adam method)": [[37, "physbo.opt.adam.adam.run"]], "set_params() (physbo.opt.adam.adam method)": [[37, "physbo.opt.adam.adam.set_params"]], "update() (physbo.opt.adam.adam method)": [[37, "physbo.opt.adam.adam.update"]], "v (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.v"]], "base_predictor (class in physbo.predictor)": [[38, "physbo.predictor.base_predictor"]], "delete_stats() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.delete_stats"]], "fit() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.fit"]], "get_basis() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_basis"]], "get_post_fcov() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_fcov"]], "get_post_fmean() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_fmean"]], "get_post_params() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_params"]], "get_post_params_samples() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_params_samples"]], "get_post_samples() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_samples"]], "get_predict_samples() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_predict_samples"]], "load() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.load"]], "physbo.predictor": [[38, "module-physbo.predictor"]], "prepare() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.prepare"]], "save() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.save"]], "update() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.update"]], "physbo.search": [[39, "module-physbo.search"]], "physbo.search.discrete": [[40, "module-physbo.search.discrete"]], "bayes_search() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.bayes_search"]], "export_history() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.export_history"]], "export_predictor() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.export_predictor"]], "export_training() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.export_training"]], "get_post_fcov() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.get_post_fcov"]], "get_post_fmean() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.get_post_fmean"]], "get_score() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.get_score"]], "load() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.load"]], "physbo.search.discrete.policy": [[41, "module-physbo.search.discrete.policy"]], "policy (class in physbo.search.discrete.policy)": [[41, "physbo.search.discrete.policy.policy"]], "random_search() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.random_search"]], "save() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.save"]], "set_seed() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.set_seed"]], "write() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.write"]], "export_all_sequence_best_fx() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.export_all_sequence_best_fx"]], "export_sequence_best_fx() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.export_sequence_best_fx"]], "history (class in physbo.search.discrete.results)": [[42, "physbo.search.discrete.results.history"]], "load() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.load"]], "physbo.search.discrete.results": [[42, "module-physbo.search.discrete.results"]], "save() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.save"]], "time_get_action (physbo.search.discrete.results.history property)": [[42, "physbo.search.discrete.results.history.time_get_action"]], "time_run_simulator (physbo.search.discrete.results.history property)": [[42, "physbo.search.discrete.results.history.time_run_simulator"]], "time_total (physbo.search.discrete.results.history property)": [[42, "physbo.search.discrete.results.history.time_total"]], "time_update_predictor (physbo.search.discrete.results.history property)": [[42, "physbo.search.discrete.results.history.time_update_predictor"]], "write() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.write"]], "physbo.search.discrete_multi": [[43, "module-physbo.search.discrete_multi"]], "bayes_search() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.bayes_search"]], "get_post_fcov() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.get_post_fcov"]], "get_post_fmean() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.get_post_fmean"]], "get_score() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.get_score"]], "load() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.load"]], "load_predictor_list() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.load_predictor_list"]], "load_training_list() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.load_training_list"]], "new_data_list (physbo.search.discrete_multi.policy.policy attribute)": [[44, "physbo.search.discrete_multi.policy.policy.new_data_list"]], "physbo.search.discrete_multi.policy": [[44, "module-physbo.search.discrete_multi.policy"]], "policy (class in physbo.search.discrete_multi.policy)": [[44, "physbo.search.discrete_multi.policy.policy"]], "random_search() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.random_search"]], "save() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.save"]], "save_predictor_list() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.save_predictor_list"]], "save_training_list() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.save_training_list"]], "write() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.write"]], "export_pareto_front() (physbo.search.discrete_multi.results.history method)": [[45, "physbo.search.discrete_multi.results.history.export_pareto_front"]], "history (class in physbo.search.discrete_multi.results)": [[45, "physbo.search.discrete_multi.results.history"]], "load() (physbo.search.discrete_multi.results.history method)": [[45, "physbo.search.discrete_multi.results.history.load"]], "physbo.search.discrete_multi.results": [[45, "module-physbo.search.discrete_multi.results"]], "save() (physbo.search.discrete_multi.results.history method)": [[45, "physbo.search.discrete_multi.results.history.save"]], "time_get_action (physbo.search.discrete_multi.results.history property)": [[45, "physbo.search.discrete_multi.results.history.time_get_action"]], "time_run_simulator (physbo.search.discrete_multi.results.history property)": [[45, "physbo.search.discrete_multi.results.history.time_run_simulator"]], "time_total (physbo.search.discrete_multi.results.history property)": [[45, "physbo.search.discrete_multi.results.history.time_total"]], "time_update_predictor (physbo.search.discrete_multi.results.history property)": [[45, "physbo.search.discrete_multi.results.history.time_update_predictor"]], "write() (physbo.search.discrete_multi.results.history method)": [[45, "physbo.search.discrete_multi.results.history.write"]], "pareto (class in physbo.search.pareto)": [[46, "physbo.search.pareto.Pareto"]], "rectangles (class in physbo.search.pareto)": [[46, "physbo.search.pareto.Rectangles"]], "add() (physbo.search.pareto.rectangles method)": [[46, "physbo.search.pareto.Rectangles.add"]], "divide_non_dominated_region() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.divide_non_dominated_region"]], "dominate() (in module physbo.search.pareto)": [[46, "physbo.search.pareto.dominate"]], "export_front() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.export_front"]], "physbo.search.pareto": [[46, "module-physbo.search.pareto"]], "set_reference_max() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.set_reference_max"]], "set_reference_min() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.set_reference_min"]], "update_front() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.update_front"]], "volume_in_dominance() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.volume_in_dominance"]], "ei() (in module physbo.search.score)": [[47, "physbo.search.score.EI"]], "pi() (in module physbo.search.score)": [[47, "physbo.search.score.PI"]], "ts() (in module physbo.search.score)": [[47, "physbo.search.score.TS"]], "physbo.search.score": [[47, "module-physbo.search.score"]], "score() (in module physbo.search.score)": [[47, "physbo.search.score.score"]], "ehvi() (in module physbo.search.score_multi)": [[48, "physbo.search.score_multi.EHVI"]], "hvpi() (in module physbo.search.score_multi)": [[48, "physbo.search.score_multi.HVPI"]], "ts() (in module physbo.search.score_multi)": [[48, "physbo.search.score_multi.TS"]], "physbo.search.score_multi": [[48, "module-physbo.search.score_multi"]], "score() (in module physbo.search.score_multi)": [[48, "physbo.search.score_multi.score"]], "is_learning() (in module physbo.search.utility)": [[49, "physbo.search.utility.is_learning"]], "length_vector() (in module physbo.search.utility)": [[49, "physbo.search.utility.length_vector"]], "physbo.search.utility": [[49, "module-physbo.search.utility"]], "show_interactive_mode() (in module physbo.search.utility)": [[49, "physbo.search.utility.show_interactive_mode"]], "show_search_results() (in module physbo.search.utility)": [[49, "physbo.search.utility.show_search_results"]], "show_search_results_mo() (in module physbo.search.utility)": [[49, "physbo.search.utility.show_search_results_mo"]], "show_start_message_multi_search() (in module physbo.search.utility)": [[49, "physbo.search.utility.show_start_message_multi_search"]], "add() (physbo.variable.variable method)": [[50, "physbo.variable.variable.add"]], "add_x() (physbo.variable.variable method)": [[50, "physbo.variable.variable.add_X"]], "add_z() (physbo.variable.variable method)": [[50, "physbo.variable.variable.add_Z"]], "add_t() (physbo.variable.variable method)": [[50, "physbo.variable.variable.add_t"]], "delete() (physbo.variable.variable method)": [[50, "physbo.variable.variable.delete"]], "delete_x() (physbo.variable.variable method)": [[50, "physbo.variable.variable.delete_X"]], "delete_z() (physbo.variable.variable method)": [[50, "physbo.variable.variable.delete_Z"]], "delete_t() (physbo.variable.variable method)": [[50, "physbo.variable.variable.delete_t"]], "get_subset() (physbo.variable.variable method)": [[50, "physbo.variable.variable.get_subset"]], "load() (physbo.variable.variable method)": [[50, "physbo.variable.variable.load"]], "physbo.variable": [[50, "module-physbo.variable"]], "save() (physbo.variable.variable method)": [[50, "physbo.variable.variable.save"]], "variable (class in physbo.variable)": [[50, "physbo.variable.variable"]]}}) \ No newline at end of file +Search.setIndex({"alltitles": {"About PHYSBO": [[54, "about-physbo"]], "Accelerating Bayesian Optimization with PHYSBO": [[1, "accelerating-bayesian-optimization-with-physbo"]], "Acknowledgement": [[0, "acknowledgement"]], "Acquisition function": [[57, "Acquisition-function"]], "Algorithm": [[1, "algorithm"]], "Appendix: Full search": [[60, "Appendix:-Full-search"]], "Basic structures": [[53, "basic-structures"]], "Basic usage": [[53, "basic-usage"]], "Basic usage of PHYSBO": [[57, "Basic-usage-of-PHYSBO"], [58, "Basic-usage-of-PHYSBO"]], "Bayesian Optimization": [[57, "Bayesian-Optimization"], [58, "Bayesian-Optimization"]], "Bayesian optimization": [[1, "bayesian-optimization"], [60, "Bayesian-optimization"]], "Calculate the volume of the dominated region": [[60, "Calculate-the-volume-of-the-dominated-region"]], "Calculation flow": [[53, "calculation-flow"]], "Checking results": [[60, "Checking-results"], [61, "Checking-results"]], "Checking the results": [[57, "Checking-the-results"], [58, "Checking-the-results"]], "Citation": [[54, "citation"]], "Contact": [[51, "contact"]], "Contents:": [[52, null], [55, null]], "Defining the search space": [[57, "Defining-the-search-space"]], "Defining the simulator class": [[57, "Defining-the-simulator-class"]], "Defining training data": [[56, "Defining-training-data"]], "Definition of simulator": [[58, "Definition-of-simulator"], [59, "Definition-of-simulator"], [60, "Definition-of-simulator"], [61, "Definition-of-simulator"]], "Download and Install": [[53, "download-and-install"]], "EHVI (Expected Hyper-Volume Improvement)": [[60, "EHVI-(Expected-Hyper-Volume-Improvement)"]], "Executing optimization": [[59, "Executing-optimization"]], "First objective function": [[60, "First-objective-function"]], "Gaussian process": [[56, "Gaussian-process"]], "Get the next parameter to be executed from PHYSBO": [[62, "Get-the-next-parameter-to-be-executed-from-PHYSBO"]], "HVPI (HyperVolume-based Probability of Improvement)": [[60, "HVPI-(HyperVolume-based-Probability-of-Improvement)"]], "Install": [[53, "install"]], "Introduction": [[54, "introduction"], [57, "Introduction"], [58, "Introduction"]], "Learning and Prediction of Gaussian Processes": [[56, "Learning-and-Prediction-of-Gaussian-Processes"]], "License": [[54, "license"]], "Main Developers": [[54, "main-developers"]], "Module contents": [[3, "module-physbo"], [4, "module-physbo.blm"], [5, "module-physbo.blm.basis"], [7, "module-physbo.blm.core"], [9, "module-physbo.blm.inf"], [11, "module-physbo.blm.lik"], [15, "module-physbo.blm.prior"], [17, "module-physbo.gp"], [18, "module-physbo.gp.core"], [22, "module-physbo.gp.cov"], [24, "module-physbo.gp.inf"], [26, "module-physbo.gp.lik"], [28, "module-physbo.gp.mean"], [32, "module-physbo.misc"], [36, "module-physbo.opt"], [39, "module-physbo.search"], [40, "module-physbo.search.discrete"], [43, "module-physbo.search.discrete_multi"]], "Multi-objective optimization": [[60, "Multi-objective-optimization"]], "Obtaining the Pareto solution": [[60, "Obtaining-the-Pareto-solution"]], "Parallelization": [[57, "Parallelization"]], "Performing optimization": [[57, "Performing-optimization"], [58, "Performing-optimization"]], "Performing optimizations": [[61, "Performing-optimizations"]], "Performing optimizations.": [[60, "Performing-optimizations."]], "Plotting the Pareto solution": [[60, "Plotting-the-Pareto-solution"], [60, "id1"], [60, "id3"]], "Plotting the functions": [[60, "Plotting-the-functions"]], "Plotting the solution (evaluated value)": [[60, "Plotting-the-solution-(evaluated-value)"]], "Prediction": [[57, "Prediction"]], "Prediction by trained models": [[56, "Prediction-by-trained-models"]], "Preparation of search candidate data": [[56, "Preparation-of-search-candidate-data"], [58, "Preparation-of-search-candidate-data"], [59, "Preparation-of-search-candidate-data"], [60, "Preparation-of-search-candidate-data"]], "Prepare the search candidate data": [[61, "Prepare-the-search-candidate-data"], [62, "Prepare-the-search-candidate-data"]], "Preparing the precomputed data": [[62, "Preparing-the-precomputed-data"]], "Random Search": [[57, "Random-Search"], [58, "Random-Search"]], "Random search": [[60, "Random-search"]], "Register action ID (parameter) and evaluation value to PHYSBO.": [[62, "Register-action-ID-(parameter)-and-evaluation-value-to-PHYSBO."]], "Required Packages": [[53, "required-packages"]], "Restart calculations by reading existing calculation results": [[62, "Restart-calculations-by-reading-existing-calculation-results"]], "Running PHYSBO interactively": [[59, "Running-PHYSBO-interactively"]], "Search multiple candidates at once": [[61, "Search-multiple-candidates-at-once"]], "Second objective function": [[60, "Second-objective-function"]], "Serializing the results": [[57, "Serializing-the-results"], [58, "Serializing-the-results"]], "Setting policy": [[57, "Setting-policy"], [58, "Setting-policy"], [60, "Setting-policy"]], "Submodules": [[3, "submodules"], [4, "submodules"], [5, "submodules"], [7, "submodules"], [9, "submodules"], [11, "submodules"], [15, "submodules"], [17, "submodules"], [18, "submodules"], [22, "submodules"], [24, "submodules"], [26, "submodules"], [28, "submodules"], [32, "submodules"], [36, "submodules"], [39, "submodules"], [40, "submodules"], [43, "submodules"]], "Subpackages": [[3, "subpackages"], [4, "subpackages"], [17, "subpackages"], [39, "subpackages"]], "Suspend and restart": [[59, "Suspend-and-restart"]], "TS (Thompson Sampling)": [[60, "TS-(Thompson-Sampling)"]], "Test functions": [[60, "Test-functions"]], "Tutorials": [[55, "tutorials"]], "Uninstall": [[53, "uninstall"]], "Volume of dominated region": [[60, "Volume-of-dominated-region"], [60, "id2"], [60, "id4"]], "Welcome to PHYSBO\u2019s documentation!": [[52, "welcome-to-physbo-s-documentation"]], "physbo": [[2, "physbo"]], "physbo package": [[3, "physbo-package"]], "physbo.blm package": [[4, "physbo-blm-package"]], "physbo.blm.basis package": [[5, "physbo-blm-basis-package"]], "physbo.blm.basis.fourier module": [[6, "module-physbo.blm.basis.fourier"]], "physbo.blm.core package": [[7, "physbo-blm-core-package"]], "physbo.blm.core.model module": [[8, "module-physbo.blm.core.model"]], "physbo.blm.inf package": [[9, "physbo-blm-inf-package"]], "physbo.blm.inf.exact module": [[10, "module-physbo.blm.inf.exact"]], "physbo.blm.lik package": [[11, "physbo-blm-lik-package"]], "physbo.blm.lik.gauss module": [[12, "module-physbo.blm.lik.gauss"]], "physbo.blm.lik.linear module": [[13, "module-physbo.blm.lik.linear"]], "physbo.blm.predictor module": [[14, "module-physbo.blm.predictor"]], "physbo.blm.prior package": [[15, "physbo-blm-prior-package"]], "physbo.blm.prior.gauss module": [[16, "module-physbo.blm.prior.gauss"]], "physbo.gp package": [[17, "physbo-gp-package"]], "physbo.gp.core package": [[18, "physbo-gp-core-package"]], "physbo.gp.core.learning module": [[19, "module-physbo.gp.core.learning"]], "physbo.gp.core.model module": [[20, "module-physbo.gp.core.model"]], "physbo.gp.core.prior module": [[21, "module-physbo.gp.core.prior"]], "physbo.gp.cov package": [[22, "physbo-gp-cov-package"]], "physbo.gp.cov.gauss module": [[23, "module-physbo.gp.cov.gauss"]], "physbo.gp.inf package": [[24, "physbo-gp-inf-package"]], "physbo.gp.inf.exact module": [[25, "module-physbo.gp.inf.exact"]], "physbo.gp.lik package": [[26, "physbo-gp-lik-package"]], "physbo.gp.lik.gauss module": [[27, "module-physbo.gp.lik.gauss"]], "physbo.gp.mean package": [[28, "physbo-gp-mean-package"]], "physbo.gp.mean.const module": [[29, "module-physbo.gp.mean.const"]], "physbo.gp.mean.zero module": [[30, "module-physbo.gp.mean.zero"]], "physbo.gp.predictor module": [[31, "module-physbo.gp.predictor"]], "physbo.misc package": [[32, "physbo-misc-package"]], "physbo.misc.centering module": [[33, "module-physbo.misc.centering"]], "physbo.misc.gauss_elim module": [[34, "module-physbo.misc.gauss_elim"]], "physbo.misc.set_config module": [[35, "module-physbo.misc.set_config"]], "physbo.opt package": [[36, "physbo-opt-package"]], "physbo.opt.adam module": [[37, "module-physbo.opt.adam"]], "physbo.predictor module": [[38, "module-physbo.predictor"]], "physbo.search package": [[39, "physbo-search-package"]], "physbo.search.discrete package": [[40, "physbo-search-discrete-package"]], "physbo.search.discrete.policy module": [[41, "module-physbo.search.discrete.policy"]], "physbo.search.discrete.results module": [[42, "module-physbo.search.discrete.results"]], "physbo.search.discrete_multi package": [[43, "physbo-search-discrete-multi-package"]], "physbo.search.discrete_multi.policy module": [[44, "module-physbo.search.discrete_multi.policy"]], "physbo.search.discrete_multi.results module": [[45, "module-physbo.search.discrete_multi.results"]], "physbo.search.pareto module": [[46, "module-physbo.search.pareto"]], "physbo.search.score module": [[47, "module-physbo.search.score"]], "physbo.search.score_multi module": [[48, "module-physbo.search.score_multi"]], "physbo.search.utility module": [[49, "module-physbo.search.utility"]], "physbo.variable module": [[50, "module-physbo.variable"]]}, "docnames": ["acknowledgement", "algorithm", "api/modules", "api/physbo", "api/physbo.blm", "api/physbo.blm.basis", "api/physbo.blm.basis.fourier", "api/physbo.blm.core", "api/physbo.blm.core.model", "api/physbo.blm.inf", "api/physbo.blm.inf.exact", "api/physbo.blm.lik", "api/physbo.blm.lik.gauss", "api/physbo.blm.lik.linear", "api/physbo.blm.predictor", "api/physbo.blm.prior", "api/physbo.blm.prior.gauss", "api/physbo.gp", "api/physbo.gp.core", "api/physbo.gp.core.learning", "api/physbo.gp.core.model", "api/physbo.gp.core.prior", "api/physbo.gp.cov", "api/physbo.gp.cov.gauss", "api/physbo.gp.inf", "api/physbo.gp.inf.exact", "api/physbo.gp.lik", "api/physbo.gp.lik.gauss", "api/physbo.gp.mean", "api/physbo.gp.mean.const", "api/physbo.gp.mean.zero", "api/physbo.gp.predictor", "api/physbo.misc", "api/physbo.misc.centering", "api/physbo.misc.gauss_elim", "api/physbo.misc.set_config", "api/physbo.opt", "api/physbo.opt.adam", "api/physbo.predictor", "api/physbo.search", "api/physbo.search.discrete", "api/physbo.search.discrete.policy", "api/physbo.search.discrete.results", "api/physbo.search.discrete_multi", "api/physbo.search.discrete_multi.policy", "api/physbo.search.discrete_multi.results", "api/physbo.search.pareto", "api/physbo.search.score", "api/physbo.search.score_multi", "api/physbo.search.utility", "api/physbo.variable", "contact", "index", "install", "introduction", "notebook/index", "notebook/tutorial_Gaussian_process", "notebook/tutorial_basic", "notebook/tutorial_basic_org", "notebook/tutorial_interactive_mode", "notebook/tutorial_multi_objective", "notebook/tutorial_multi_probe", "notebook/tutorial_once_mode"], "envversion": {"nbsphinx": 4, "sphinx": 61, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1}, "filenames": ["acknowledgement.rst", "algorithm.rst", "api/modules.rst", "api/physbo.rst", "api/physbo.blm.rst", "api/physbo.blm.basis.rst", "api/physbo.blm.basis.fourier.rst", "api/physbo.blm.core.rst", "api/physbo.blm.core.model.rst", "api/physbo.blm.inf.rst", "api/physbo.blm.inf.exact.rst", "api/physbo.blm.lik.rst", "api/physbo.blm.lik.gauss.rst", "api/physbo.blm.lik.linear.rst", "api/physbo.blm.predictor.rst", "api/physbo.blm.prior.rst", "api/physbo.blm.prior.gauss.rst", "api/physbo.gp.rst", "api/physbo.gp.core.rst", "api/physbo.gp.core.learning.rst", "api/physbo.gp.core.model.rst", "api/physbo.gp.core.prior.rst", "api/physbo.gp.cov.rst", "api/physbo.gp.cov.gauss.rst", "api/physbo.gp.inf.rst", "api/physbo.gp.inf.exact.rst", "api/physbo.gp.lik.rst", "api/physbo.gp.lik.gauss.rst", "api/physbo.gp.mean.rst", "api/physbo.gp.mean.const.rst", "api/physbo.gp.mean.zero.rst", "api/physbo.gp.predictor.rst", "api/physbo.misc.rst", "api/physbo.misc.centering.rst", "api/physbo.misc.gauss_elim.rst", "api/physbo.misc.set_config.rst", "api/physbo.opt.rst", "api/physbo.opt.adam.rst", "api/physbo.predictor.rst", "api/physbo.search.rst", "api/physbo.search.discrete.rst", "api/physbo.search.discrete.policy.rst", "api/physbo.search.discrete.results.rst", "api/physbo.search.discrete_multi.rst", "api/physbo.search.discrete_multi.policy.rst", "api/physbo.search.discrete_multi.results.rst", "api/physbo.search.pareto.rst", "api/physbo.search.score.rst", "api/physbo.search.score_multi.rst", "api/physbo.search.utility.rst", "api/physbo.variable.rst", "contact.rst", "index.rst", "install.rst", "introduction.rst", "notebook/index.rst", "notebook/tutorial_Gaussian_process.ipynb", "notebook/tutorial_basic.ipynb", "notebook/tutorial_basic_org.ipynb", "notebook/tutorial_interactive_mode.ipynb", "notebook/tutorial_multi_objective.ipynb", "notebook/tutorial_multi_probe.ipynb", "notebook/tutorial_once_mode.ipynb"], "indexentries": {"_init_params (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear._init_params", false]], "adam (class in physbo.gp.core.learning)": [[19, "physbo.gp.core.learning.adam", false]], "adam (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.adam", false]], "adam (class in physbo.opt.adam)": [[37, "physbo.opt.adam.adam", false]], "add() (physbo.search.pareto.rectangles method)": [[46, "physbo.search.pareto.Rectangles.add", false]], "add() (physbo.variable.variable method)": [[50, "physbo.variable.variable.add", false]], "add_t() (physbo.variable.variable method)": [[50, "physbo.variable.variable.add_t", false]], "add_x() (physbo.variable.variable method)": [[50, "physbo.variable.variable.add_X", false]], "add_z() (physbo.variable.variable method)": [[50, "physbo.variable.variable.add_Z", false]], "alpha (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.alpha", false]], "base_predictor (class in physbo.predictor)": [[38, "physbo.predictor.base_predictor", false]], "basis (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear.basis", false]], "batch (class in physbo.gp.core.learning)": [[19, "physbo.gp.core.learning.batch", false]], "batch (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.batch", false]], "bayes_search() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.bayes_search", false]], "bayes_search() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.bayes_search", false]], "beta (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.beta", false]], "bias (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear.bias", false]], "blm (physbo.blm.predictor.predictor attribute)": [[14, "physbo.blm.predictor.predictor.blm", false]], "boolean() (in module physbo.misc.set_config)": [[35, "physbo.misc.set_config.boolean", false]], "cat_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.cat_params", false]], "cat_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.cat_params", false]], "cat_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.cat_params", false]], "centering() (in module physbo.misc.centering)": [[33, "physbo.misc.centering.centering", false]], "config (physbo.blm.predictor.predictor attribute)": [[14, "physbo.blm.predictor.predictor.config", false]], "const (class in physbo.gp.mean.const)": [[29, "physbo.gp.mean.const.const", false]], "cov (physbo.blm.lik.gauss.gauss attribute)": [[12, "physbo.blm.lik.gauss.gauss.cov", false]], "cov (physbo.blm.prior.gauss.gauss attribute)": [[16, "physbo.blm.prior.gauss.gauss.cov", false]], "cov_const (class in physbo.blm.prior.gauss)": [[16, "physbo.blm.prior.gauss.cov_const", false]], "decomp_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.decomp_params", false]], "decomp_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.decomp_params", false]], "decomp_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.decomp_params", false]], "delete() (physbo.variable.variable method)": [[50, "physbo.variable.variable.delete", false]], "delete_stats() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.delete_stats", false]], "delete_stats() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.delete_stats", false]], "delete_stats() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.delete_stats", false]], "delete_t() (physbo.variable.variable method)": [[50, "physbo.variable.variable.delete_t", false]], "delete_x() (physbo.variable.variable method)": [[50, "physbo.variable.variable.delete_X", false]], "delete_z() (physbo.variable.variable method)": [[50, "physbo.variable.variable.delete_Z", false]], "disp_marlik() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.disp_marlik", false]], "divide_non_dominated_region() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.divide_non_dominated_region", false]], "dominate() (in module physbo.search.pareto)": [[46, "physbo.search.pareto.dominate", false]], "ehvi() (in module physbo.search.score_multi)": [[48, "physbo.search.score_multi.EHVI", false]], "ei() (in module physbo.search.score)": [[47, "physbo.search.score.EI", false]], "epoch (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.epoch", false]], "epsilon (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.epsilon", false]], "eval_marlik() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.eval_marlik", false]], "eval_marlik() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.eval_marlik", false]], "export_all_sequence_best_fx() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.export_all_sequence_best_fx", false]], "export_blm() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.export_blm", false]], "export_front() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.export_front", false]], "export_history() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.export_history", false]], "export_pareto_front() (physbo.search.discrete_multi.results.history method)": [[45, "physbo.search.discrete_multi.results.history.export_pareto_front", false]], "export_predictor() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.export_predictor", false]], "export_sequence_best_fx() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.export_sequence_best_fx", false]], "export_training() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.export_training", false]], "fit() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.fit", false]], "fit() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.fit", false]], "fit() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.fit", false]], "fit() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.fit", false]], "fourier (class in physbo.blm.basis.fourier)": [[6, "physbo.blm.basis.fourier.fourier", false]], "gamma (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.gamma", false]], "gauss (class in physbo.blm.lik.gauss)": [[12, "physbo.blm.lik.gauss.gauss", false]], "gauss (class in physbo.blm.prior.gauss)": [[16, "physbo.blm.prior.gauss.gauss", false]], "gauss (class in physbo.gp.cov.gauss)": [[23, "physbo.gp.cov.gauss.gauss", false]], "gauss (class in physbo.gp.lik.gauss)": [[27, "physbo.gp.lik.gauss.gauss", false]], "gauss_elim() (in module physbo.misc.gauss_elim)": [[34, "physbo.misc.gauss_elim.gauss_elim", false]], "get_basis() (physbo.blm.basis.fourier.fourier method)": [[6, "physbo.blm.basis.fourier.fourier.get_basis", false]], "get_basis() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.get_basis", false]], "get_basis() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_basis", false]], "get_basis() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_basis", false]], "get_basis() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_basis", false]], "get_cand_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_cand_params", false]], "get_cand_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.get_cand_params", false]], "get_cand_params() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.get_cand_params", false]], "get_cand_params() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.get_cand_params", false]], "get_cov() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.get_cov", false]], "get_cov() (physbo.blm.prior.gauss.cov_const method)": [[16, "physbo.blm.prior.gauss.cov_const.get_cov", false]], "get_cov() (physbo.blm.prior.gauss.gauss method)": [[16, "physbo.blm.prior.gauss.gauss.get_cov", false]], "get_cov() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.get_cov", false]], "get_cov() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.get_cov", false]], "get_cov() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.get_cov", false]], "get_grad() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.get_grad", false]], "get_grad() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.get_grad", false]], "get_grad() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.get_grad", false]], "get_grad() (physbo.gp.mean.zero.zero method)": [[30, "physbo.gp.mean.zero.zero.get_grad", false]], "get_grad_cov() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.get_grad_cov", false]], "get_grad_marlik() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.get_grad_marlik", false]], "get_grad_marlik() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_grad_marlik", false]], "get_grad_mean() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.get_grad_mean", false]], "get_mean() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.get_mean", false]], "get_mean() (physbo.blm.lik.linear.linear method)": [[13, "physbo.blm.lik.linear.linear.get_mean", false]], "get_mean() (physbo.blm.prior.gauss.gauss method)": [[16, "physbo.blm.prior.gauss.gauss.get_mean", false]], "get_mean() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.get_mean", false]], "get_mean() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.get_mean", false]], "get_mean() (physbo.gp.mean.zero.zero method)": [[30, "physbo.gp.mean.zero.zero.get_mean", false]], "get_one_update() (physbo.gp.core.learning.adam method)": [[19, "physbo.gp.core.learning.adam.get_one_update", false]], "get_one_update() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.get_one_update", false]], "get_params_bound() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_params_bound", false]], "get_params_bound() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.get_params_bound", false]], "get_params_bound() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.get_params_bound", false]], "get_params_bound() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.get_params_bound", false]], "get_post_fcov() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.get_post_fcov", false]], "get_post_fcov() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.get_post_fcov", false]], "get_post_fcov() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.get_post_fcov", false]], "get_post_fcov() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_post_fcov", false]], "get_post_fcov() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_post_fcov", false]], "get_post_fcov() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_post_fcov", false]], "get_post_fcov() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_fcov", false]], "get_post_fcov() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.get_post_fcov", false]], "get_post_fcov() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.get_post_fcov", false]], "get_post_fmean() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.get_post_fmean", false]], "get_post_fmean() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.get_post_fmean", false]], "get_post_fmean() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.get_post_fmean", false]], "get_post_fmean() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_post_fmean", false]], "get_post_fmean() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.get_post_fmean", false]], "get_post_fmean() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_post_fmean", false]], "get_post_fmean() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_fmean", false]], "get_post_fmean() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.get_post_fmean", false]], "get_post_fmean() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.get_post_fmean", false]], "get_post_params() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_post_params", false]], "get_post_params() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_post_params", false]], "get_post_params() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_params", false]], "get_post_params_mean() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.get_post_params_mean", false]], "get_post_params_mean() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.get_post_params_mean", false]], "get_post_params_samples() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_params_samples", false]], "get_post_samples() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_post_samples", false]], "get_post_samples() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_post_samples", false]], "get_post_samples() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_post_samples", false]], "get_prec() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.get_prec", false]], "get_prec() (physbo.blm.prior.gauss.cov_const method)": [[16, "physbo.blm.prior.gauss.cov_const.get_prec", false]], "get_prec() (physbo.blm.prior.gauss.gauss method)": [[16, "physbo.blm.prior.gauss.gauss.get_prec", false]], "get_predict_samples() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.get_predict_samples", false]], "get_predict_samples() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.get_predict_samples", false]], "get_predict_samples() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.get_predict_samples", false]], "get_score() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.get_score", false]], "get_score() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.get_score", false]], "get_subset() (physbo.variable.variable method)": [[50, "physbo.variable.variable.get_subset", false]], "grad (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.grad", false]], "history (class in physbo.search.discrete.results)": [[42, "physbo.search.discrete.results.history", false]], "history (class in physbo.search.discrete_multi.results)": [[45, "physbo.search.discrete_multi.results.history", false]], "hvpi() (in module physbo.search.score_multi)": [[48, "physbo.search.score_multi.HVPI", false]], "init_params() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.init_params", false]], "init_params_search() (physbo.gp.core.learning.batch method)": [[19, "physbo.gp.core.learning.batch.init_params_search", false]], "init_params_search() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.init_params_search", false]], "is_learning() (in module physbo.search.utility)": [[49, "physbo.search.utility.is_learning", false]], "learning (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.learning", false]], "length_vector() (in module physbo.search.utility)": [[49, "physbo.search.utility.length_vector", false]], "lik (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.lik", false]], "linear (class in physbo.blm.lik.linear)": [[13, "physbo.blm.lik.linear.linear", false]], "linear (physbo.blm.lik.gauss.gauss attribute)": [[12, "physbo.blm.lik.gauss.gauss.linear", false]], "load() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.load", false]], "load() (physbo.misc.set_config.adam method)": [[35, "physbo.misc.set_config.adam.load", false]], "load() (physbo.misc.set_config.batch method)": [[35, "physbo.misc.set_config.batch.load", false]], "load() (physbo.misc.set_config.learning method)": [[35, "physbo.misc.set_config.learning.load", false]], "load() (physbo.misc.set_config.online method)": [[35, "physbo.misc.set_config.online.load", false]], "load() (physbo.misc.set_config.search method)": [[35, "physbo.misc.set_config.search.load", false]], "load() (physbo.misc.set_config.set_config method)": [[35, "physbo.misc.set_config.set_config.load", false]], "load() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.load", false]], "load() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.load", false]], "load() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.load", false]], "load() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.load", false]], "load() (physbo.search.discrete_multi.results.history method)": [[45, "physbo.search.discrete_multi.results.history.load", false]], "load() (physbo.variable.variable method)": [[50, "physbo.variable.variable.load", false]], "load_predictor_list() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.load_predictor_list", false]], "load_training_list() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.load_training_list", false]], "m (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.m", false]], "max_epoch (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.max_epoch", false]], "method (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.method", false]], "model (class in physbo.blm.core.model)": [[8, "physbo.blm.core.model.model", false]], "model (class in physbo.gp.core.model)": [[20, "physbo.gp.core.model.model", false]], "module": [[3, "module-physbo", false], [4, "module-physbo.blm", false], [5, "module-physbo.blm.basis", false], [6, "module-physbo.blm.basis.fourier", false], [7, "module-physbo.blm.core", false], [8, "module-physbo.blm.core.model", false], [9, "module-physbo.blm.inf", false], [10, "module-physbo.blm.inf.exact", false], [11, "module-physbo.blm.lik", false], [12, "module-physbo.blm.lik.gauss", false], [13, "module-physbo.blm.lik.linear", false], [14, "module-physbo.blm.predictor", false], [15, "module-physbo.blm.prior", false], [16, "module-physbo.blm.prior.gauss", false], [17, "module-physbo.gp", false], [18, "module-physbo.gp.core", false], [19, "module-physbo.gp.core.learning", false], [20, "module-physbo.gp.core.model", false], [21, "module-physbo.gp.core.prior", false], [22, "module-physbo.gp.cov", false], [23, "module-physbo.gp.cov.gauss", false], [24, "module-physbo.gp.inf", false], [25, "module-physbo.gp.inf.exact", false], [26, "module-physbo.gp.lik", false], [27, "module-physbo.gp.lik.gauss", false], [28, "module-physbo.gp.mean", false], [29, "module-physbo.gp.mean.const", false], [30, "module-physbo.gp.mean.zero", false], [31, "module-physbo.gp.predictor", false], [32, "module-physbo.misc", false], [33, "module-physbo.misc.centering", false], [34, "module-physbo.misc.gauss_elim", false], [35, "module-physbo.misc.set_config", false], [36, "module-physbo.opt", false], [37, "module-physbo.opt.adam", false], [38, "module-physbo.predictor", false], [39, "module-physbo.search", false], [40, "module-physbo.search.discrete", false], [41, "module-physbo.search.discrete.policy", false], [42, "module-physbo.search.discrete.results", false], [43, "module-physbo.search.discrete_multi", false], [44, "module-physbo.search.discrete_multi.policy", false], [45, "module-physbo.search.discrete_multi.results", false], [46, "module-physbo.search.pareto", false], [47, "module-physbo.search.score", false], [48, "module-physbo.search.score_multi", false], [49, "module-physbo.search.utility", false], [50, "module-physbo.variable", false]], "nbasis (physbo.blm.basis.fourier.fourier attribute)": [[6, "physbo.blm.basis.fourier.fourier.nbasis", false]], "nbasis (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.nbasis", false]], "nbasis (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear.nbasis", false]], "nbasis (physbo.blm.prior.gauss.gauss attribute)": [[16, "physbo.blm.prior.gauss.gauss.nbasis", false]], "new_data_list (physbo.search.discrete_multi.policy.policy attribute)": [[44, "physbo.search.discrete_multi.policy.policy.new_data_list", false]], "nparams (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.nparams", false]], "one_run() (physbo.gp.core.learning.batch method)": [[19, "physbo.gp.core.learning.batch.one_run", false]], "one_run() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.one_run", false]], "online (class in physbo.gp.core.learning)": [[19, "physbo.gp.core.learning.online", false]], "online (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.online", false]], "params (physbo.blm.basis.fourier.fourier attribute)": [[6, "physbo.blm.basis.fourier.fourier.params", false]], "params (physbo.blm.lik.linear.linear attribute)": [[13, "physbo.blm.lik.linear.linear.params", false]], "params (physbo.blm.prior.gauss.cov_const attribute)": [[16, "physbo.blm.prior.gauss.cov_const.params", false]], "params (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.params", false]], "pareto (class in physbo.search.pareto)": [[46, "physbo.search.pareto.Pareto", false]], "physbo": [[3, "module-physbo", false]], "physbo.blm": [[4, "module-physbo.blm", false]], "physbo.blm.basis": [[5, "module-physbo.blm.basis", false]], "physbo.blm.basis.fourier": [[6, "module-physbo.blm.basis.fourier", false]], "physbo.blm.core": [[7, "module-physbo.blm.core", false]], "physbo.blm.core.model": [[8, "module-physbo.blm.core.model", false]], "physbo.blm.inf": [[9, "module-physbo.blm.inf", false]], "physbo.blm.inf.exact": [[10, "module-physbo.blm.inf.exact", false]], "physbo.blm.lik": [[11, "module-physbo.blm.lik", false]], "physbo.blm.lik.gauss": [[12, "module-physbo.blm.lik.gauss", false]], "physbo.blm.lik.linear": [[13, "module-physbo.blm.lik.linear", false]], "physbo.blm.predictor": [[14, "module-physbo.blm.predictor", false]], "physbo.blm.prior": [[15, "module-physbo.blm.prior", false]], "physbo.blm.prior.gauss": [[16, "module-physbo.blm.prior.gauss", false]], "physbo.gp": [[17, "module-physbo.gp", false]], "physbo.gp.core": [[18, "module-physbo.gp.core", false]], "physbo.gp.core.learning": [[19, "module-physbo.gp.core.learning", false]], "physbo.gp.core.model": [[20, "module-physbo.gp.core.model", false]], "physbo.gp.core.prior": [[21, "module-physbo.gp.core.prior", false]], "physbo.gp.cov": [[22, "module-physbo.gp.cov", false]], "physbo.gp.cov.gauss": [[23, "module-physbo.gp.cov.gauss", false]], "physbo.gp.inf": [[24, "module-physbo.gp.inf", false]], "physbo.gp.inf.exact": [[25, "module-physbo.gp.inf.exact", false]], "physbo.gp.lik": [[26, "module-physbo.gp.lik", false]], "physbo.gp.lik.gauss": [[27, "module-physbo.gp.lik.gauss", false]], "physbo.gp.mean": [[28, "module-physbo.gp.mean", false]], "physbo.gp.mean.const": [[29, "module-physbo.gp.mean.const", false]], "physbo.gp.mean.zero": [[30, "module-physbo.gp.mean.zero", false]], "physbo.gp.predictor": [[31, "module-physbo.gp.predictor", false]], "physbo.misc": [[32, "module-physbo.misc", false]], "physbo.misc.centering": [[33, "module-physbo.misc.centering", false]], "physbo.misc.gauss_elim": [[34, "module-physbo.misc.gauss_elim", false]], "physbo.misc.set_config": [[35, "module-physbo.misc.set_config", false]], "physbo.opt": [[36, "module-physbo.opt", false]], "physbo.opt.adam": [[37, "module-physbo.opt.adam", false]], "physbo.predictor": [[38, "module-physbo.predictor", false]], "physbo.search": [[39, "module-physbo.search", false]], "physbo.search.discrete": [[40, "module-physbo.search.discrete", false]], "physbo.search.discrete.policy": [[41, "module-physbo.search.discrete.policy", false]], "physbo.search.discrete.results": [[42, "module-physbo.search.discrete.results", false]], "physbo.search.discrete_multi": [[43, "module-physbo.search.discrete_multi", false]], "physbo.search.discrete_multi.policy": [[44, "module-physbo.search.discrete_multi.policy", false]], "physbo.search.discrete_multi.results": [[45, "module-physbo.search.discrete_multi.results", false]], "physbo.search.pareto": [[46, "module-physbo.search.pareto", false]], "physbo.search.score": [[47, "module-physbo.search.score", false]], "physbo.search.score_multi": [[48, "module-physbo.search.score_multi", false]], "physbo.search.utility": [[49, "module-physbo.search.utility", false]], "physbo.variable": [[50, "module-physbo.variable", false]], "pi() (in module physbo.search.score)": [[47, "physbo.search.score.PI", false]], "policy (class in physbo.search.discrete.policy)": [[41, "physbo.search.discrete.policy.policy", false]], "policy (class in physbo.search.discrete_multi.policy)": [[44, "physbo.search.discrete_multi.policy.policy", false]], "post_sampling() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.post_sampling", false]], "post_sampling() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.post_sampling", false]], "prec (physbo.blm.prior.gauss.cov_const attribute)": [[16, "physbo.blm.prior.gauss.cov_const.prec", false]], "predict_sampling() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.predict_sampling", false]], "predict_sampling() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.predict_sampling", false]], "predictor (class in physbo.blm.predictor)": [[14, "physbo.blm.predictor.predictor", false]], "predictor (class in physbo.gp.predictor)": [[31, "physbo.gp.predictor.predictor", false]], "prepare() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.prepare", false]], "prepare() (in module physbo.gp.inf.exact)": [[25, "physbo.gp.inf.exact.prepare", false]], "prepare() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.prepare", false]], "prepare() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.prepare", false]], "prepare() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.prepare", false]], "prepare() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.prepare", false]], "prepare() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.prepare", false]], "prepare() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.prepare", false]], "print_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.print_params", false]], "print_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.print_params", false]], "prior (class in physbo.gp.core.prior)": [[21, "physbo.gp.core.prior.prior", false]], "prior (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.prior", false]], "rand_expans() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.rand_expans", false]], "random_search() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.random_search", false]], "random_search() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.random_search", false]], "rectangles (class in physbo.search.pareto)": [[46, "physbo.search.pareto.Rectangles", false]], "reset() (physbo.gp.core.learning.adam method)": [[19, "physbo.gp.core.learning.adam.reset", false]], "run() (physbo.gp.core.learning.batch method)": [[19, "physbo.gp.core.learning.batch.run", false]], "run() (physbo.gp.core.learning.online method)": [[19, "physbo.gp.core.learning.online.run", false]], "run() (physbo.opt.adam.adam method)": [[37, "physbo.opt.adam.adam.run", false]], "sampling() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.sampling", false]], "sampling() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.sampling", false]], "sampling() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.sampling", false]], "sampling() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.sampling", false]], "sampling() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.sampling", false]], "save() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.save", false]], "save() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.save", false]], "save() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.save", false]], "save() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.save", false]], "save() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.save", false]], "save() (physbo.search.discrete_multi.results.history method)": [[45, "physbo.search.discrete_multi.results.history.save", false]], "save() (physbo.variable.variable method)": [[50, "physbo.variable.variable.save", false]], "save_predictor_list() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.save_predictor_list", false]], "save_training_list() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.save_training_list", false]], "score() (in module physbo.search.score)": [[47, "physbo.search.score.score", false]], "score() (in module physbo.search.score_multi)": [[48, "physbo.search.score_multi.score", false]], "search (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.search", false]], "set_bias() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.set_bias", false]], "set_bias() (physbo.blm.lik.linear.linear method)": [[13, "physbo.blm.lik.linear.linear.set_bias", false]], "set_config (class in physbo.misc.set_config)": [[35, "physbo.misc.set_config.set_config", false]], "set_cov_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.set_cov_params", false]], "set_mean_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.set_mean_params", false]], "set_params() (physbo.blm.basis.fourier.fourier method)": [[6, "physbo.blm.basis.fourier.fourier.set_params", false]], "set_params() (physbo.blm.lik.gauss.gauss method)": [[12, "physbo.blm.lik.gauss.gauss.set_params", false]], "set_params() (physbo.blm.lik.linear.linear method)": [[13, "physbo.blm.lik.linear.linear.set_params", false]], "set_params() (physbo.blm.prior.gauss.cov_const method)": [[16, "physbo.blm.prior.gauss.cov_const.set_params", false]], "set_params() (physbo.blm.prior.gauss.gauss method)": [[16, "physbo.blm.prior.gauss.gauss.set_params", false]], "set_params() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.set_params", false]], "set_params() (physbo.gp.core.prior.prior method)": [[21, "physbo.gp.core.prior.prior.set_params", false]], "set_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.set_params", false]], "set_params() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.set_params", false]], "set_params() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.set_params", false]], "set_params() (physbo.gp.mean.zero.zero method)": [[30, "physbo.gp.mean.zero.zero.set_params", false]], "set_params() (physbo.opt.adam.adam method)": [[37, "physbo.opt.adam.adam.set_params", false]], "set_reference_max() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.set_reference_max", false]], "set_reference_min() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.set_reference_min", false]], "set_seed() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.set_seed", false]], "show() (physbo.blm.basis.fourier.fourier method)": [[6, "physbo.blm.basis.fourier.fourier.show", false]], "show() (physbo.misc.set_config.adam method)": [[35, "physbo.misc.set_config.adam.show", false]], "show() (physbo.misc.set_config.batch method)": [[35, "physbo.misc.set_config.batch.show", false]], "show() (physbo.misc.set_config.learning method)": [[35, "physbo.misc.set_config.learning.show", false]], "show() (physbo.misc.set_config.online method)": [[35, "physbo.misc.set_config.online.show", false]], "show() (physbo.misc.set_config.search method)": [[35, "physbo.misc.set_config.search.show", false]], "show() (physbo.misc.set_config.set_config method)": [[35, "physbo.misc.set_config.set_config.show", false]], "show_interactive_mode() (in module physbo.search.utility)": [[49, "physbo.search.utility.show_interactive_mode", false]], "show_search_results() (in module physbo.search.utility)": [[49, "physbo.search.utility.show_search_results", false]], "show_search_results_mo() (in module physbo.search.utility)": [[49, "physbo.search.utility.show_search_results_mo", false]], "show_start_message_multi_search() (in module physbo.search.utility)": [[49, "physbo.search.utility.show_start_message_multi_search", false]], "sigma2 (physbo.blm.prior.gauss.cov_const attribute)": [[16, "physbo.blm.prior.gauss.cov_const.sigma2", false]], "stats (physbo.blm.core.model.model attribute)": [[8, "physbo.blm.core.model.model.stats", false]], "stats (physbo.blm.lik.gauss.gauss attribute)": [[12, "physbo.blm.lik.gauss.gauss.stats", false]], "sub_sampling() (physbo.gp.core.model.model method)": [[20, "physbo.gp.core.model.model.sub_sampling", false]], "supp_params() (physbo.gp.cov.gauss.gauss method)": [[23, "physbo.gp.cov.gauss.gauss.supp_params", false]], "supp_params() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.supp_params", false]], "supp_params() (physbo.gp.mean.const.const method)": [[29, "physbo.gp.mean.const.const.supp_params", false]], "time_get_action (physbo.search.discrete.results.history property)": [[42, "physbo.search.discrete.results.history.time_get_action", false]], "time_get_action (physbo.search.discrete_multi.results.history property)": [[45, "physbo.search.discrete_multi.results.history.time_get_action", false]], "time_run_simulator (physbo.search.discrete.results.history property)": [[42, "physbo.search.discrete.results.history.time_run_simulator", false]], "time_run_simulator (physbo.search.discrete_multi.results.history property)": [[45, "physbo.search.discrete_multi.results.history.time_run_simulator", false]], "time_total (physbo.search.discrete.results.history property)": [[42, "physbo.search.discrete.results.history.time_total", false]], "time_total (physbo.search.discrete_multi.results.history property)": [[45, "physbo.search.discrete_multi.results.history.time_total", false]], "time_update_predictor (physbo.search.discrete.results.history property)": [[42, "physbo.search.discrete.results.history.time_update_predictor", false]], "time_update_predictor (physbo.search.discrete_multi.results.history property)": [[45, "physbo.search.discrete_multi.results.history.time_update_predictor", false]], "trans_params() (physbo.gp.lik.gauss.gauss method)": [[27, "physbo.gp.lik.gauss.gauss.trans_params", false]], "ts() (in module physbo.search.score)": [[47, "physbo.search.score.TS", false]], "ts() (in module physbo.search.score_multi)": [[48, "physbo.search.score_multi.TS", false]], "update() (physbo.blm.predictor.predictor method)": [[14, "physbo.blm.predictor.predictor.update", false]], "update() (physbo.gp.predictor.predictor method)": [[31, "physbo.gp.predictor.predictor.update", false]], "update() (physbo.opt.adam.adam method)": [[37, "physbo.opt.adam.adam.update", false]], "update() (physbo.predictor.base_predictor method)": [[38, "physbo.predictor.base_predictor.update", false]], "update_front() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.update_front", false]], "update_stats() (in module physbo.blm.inf.exact)": [[10, "physbo.blm.inf.exact.update_stats", false]], "update_stats() (physbo.blm.core.model.model method)": [[8, "physbo.blm.core.model.model.update_stats", false]], "v (physbo.opt.adam.adam attribute)": [[37, "physbo.opt.adam.adam.v", false]], "variable (class in physbo.variable)": [[50, "physbo.variable.variable", false]], "volume_in_dominance() (physbo.search.pareto.pareto method)": [[46, "physbo.search.pareto.Pareto.volume_in_dominance", false]], "write() (physbo.search.discrete.policy.policy method)": [[41, "physbo.search.discrete.policy.policy.write", false]], "write() (physbo.search.discrete.results.history method)": [[42, "physbo.search.discrete.results.history.write", false]], "write() (physbo.search.discrete_multi.policy.policy method)": [[44, "physbo.search.discrete_multi.policy.policy.write", false]], "write() (physbo.search.discrete_multi.results.history method)": [[45, "physbo.search.discrete_multi.results.history.write", false]], "zero (class in physbo.gp.mean.zero)": [[30, "physbo.gp.mean.zero.zero", false]]}, "objects": {"": [[3, 0, 0, "-", "physbo"]], "physbo": [[4, 0, 0, "-", "blm"], [17, 0, 0, "-", "gp"], [32, 0, 0, "-", "misc"], [36, 0, 0, "-", "opt"], [38, 0, 0, "-", "predictor"], [39, 0, 0, "-", "search"], [50, 0, 0, "-", "variable"]], "physbo.blm": [[5, 0, 0, "-", "basis"], [7, 0, 0, "-", "core"], [9, 0, 0, "-", "inf"], [11, 0, 0, "-", "lik"], [14, 0, 0, "-", "predictor"], [15, 0, 0, "-", "prior"]], "physbo.blm.basis": [[6, 0, 0, "-", "fourier"]], "physbo.blm.basis.fourier": [[6, 1, 1, "", "fourier"]], "physbo.blm.basis.fourier.fourier": [[6, 2, 1, "", "get_basis"], [6, 3, 1, "", "nbasis"], [6, 3, 1, "", "params"], [6, 2, 1, "", "set_params"], [6, 2, 1, "", "show"]], "physbo.blm.core": [[8, 0, 0, "-", "model"]], "physbo.blm.core.model": [[8, 1, 1, "", "model"]], "physbo.blm.core.model.model": [[8, 2, 1, "", "get_post_fcov"], [8, 2, 1, "", "get_post_fmean"], [8, 2, 1, "", "get_post_params_mean"], [8, 3, 1, "", "lik"], [8, 3, 1, "", "method"], [8, 3, 1, "", "nbasis"], [8, 2, 1, "", "post_sampling"], [8, 2, 1, "", "predict_sampling"], [8, 2, 1, "", "prepare"], [8, 3, 1, "", "prior"], [8, 2, 1, "", "sampling"], [8, 3, 1, "", "stats"], [8, 2, 1, "", "update_stats"]], "physbo.blm.inf": [[10, 0, 0, "-", "exact"]], "physbo.blm.inf.exact": [[10, 4, 1, "", "get_post_fcov"], [10, 4, 1, "", "get_post_fmean"], [10, 4, 1, "", "get_post_params_mean"], [10, 4, 1, "", "prepare"], [10, 4, 1, "", "sampling"], [10, 4, 1, "", "update_stats"]], "physbo.blm.lik": [[12, 0, 0, "-", "gauss"], [13, 0, 0, "-", "linear"]], "physbo.blm.lik.gauss": [[12, 1, 1, "", "gauss"]], "physbo.blm.lik.gauss.gauss": [[12, 3, 1, "", "cov"], [12, 2, 1, "", "get_basis"], [12, 2, 1, "", "get_cov"], [12, 2, 1, "", "get_mean"], [12, 2, 1, "", "get_prec"], [12, 3, 1, "", "linear"], [12, 2, 1, "", "sampling"], [12, 2, 1, "", "set_bias"], [12, 2, 1, "", "set_params"], [12, 3, 1, "", "stats"]], "physbo.blm.lik.linear": [[13, 1, 1, "", "linear"]], "physbo.blm.lik.linear.linear": [[13, 3, 1, "", "_init_params"], [13, 3, 1, "", "basis"], [13, 3, 1, "", "bias"], [13, 2, 1, "", "get_mean"], [13, 3, 1, "", "nbasis"], [13, 3, 1, "", "params"], [13, 2, 1, "", "set_bias"], [13, 2, 1, "", "set_params"]], "physbo.blm.predictor": [[14, 1, 1, "", "predictor"]], "physbo.blm.predictor.predictor": [[14, 3, 1, "", "blm"], [14, 3, 1, "", "config"], [14, 2, 1, "", "delete_stats"], [14, 2, 1, "", "fit"], [14, 2, 1, "", "get_basis"], [14, 2, 1, "", "get_post_fcov"], [14, 2, 1, "", "get_post_fmean"], [14, 2, 1, "", "get_post_params"], [14, 2, 1, "", "get_post_samples"], [14, 2, 1, "", "get_predict_samples"], [14, 2, 1, "", "prepare"], [14, 2, 1, "", "update"]], "physbo.blm.prior": [[16, 0, 0, "-", "gauss"]], "physbo.blm.prior.gauss": [[16, 1, 1, "", "cov_const"], [16, 1, 1, "", "gauss"]], "physbo.blm.prior.gauss.cov_const": [[16, 2, 1, "", "get_cov"], [16, 2, 1, "", "get_prec"], [16, 3, 1, "", "params"], [16, 3, 1, "", "prec"], [16, 2, 1, "", "set_params"], [16, 3, 1, "", "sigma2"]], "physbo.blm.prior.gauss.gauss": [[16, 3, 1, "", "cov"], [16, 2, 1, "", "get_cov"], [16, 2, 1, "", "get_mean"], [16, 2, 1, "", "get_prec"], [16, 3, 1, "", "nbasis"], [16, 2, 1, "", "set_params"]], "physbo.gp": [[18, 0, 0, "-", "core"], [22, 0, 0, "-", "cov"], [24, 0, 0, "-", "inf"], [26, 0, 0, "-", "lik"], [28, 0, 0, "-", "mean"], [31, 0, 0, "-", "predictor"]], "physbo.gp.core": [[19, 0, 0, "-", "learning"], [20, 0, 0, "-", "model"], [21, 0, 0, "-", "prior"]], "physbo.gp.core.learning": [[19, 1, 1, "", "adam"], [19, 1, 1, "", "batch"], [19, 1, 1, "", "online"]], "physbo.gp.core.learning.adam": [[19, 2, 1, "", "get_one_update"], [19, 2, 1, "", "reset"]], "physbo.gp.core.learning.batch": [[19, 2, 1, "", "init_params_search"], [19, 2, 1, "", "one_run"], [19, 2, 1, "", "run"]], "physbo.gp.core.learning.online": [[19, 2, 1, "", "disp_marlik"], [19, 2, 1, "", "get_one_update"], [19, 2, 1, "", "init_params_search"], [19, 2, 1, "", "one_run"], [19, 2, 1, "", "run"]], "physbo.gp.core.model": [[20, 1, 1, "", "model"]], "physbo.gp.core.model.model": [[20, 2, 1, "", "cat_params"], [20, 2, 1, "", "decomp_params"], [20, 2, 1, "", "eval_marlik"], [20, 2, 1, "", "export_blm"], [20, 2, 1, "", "fit"], [20, 2, 1, "", "get_cand_params"], [20, 2, 1, "", "get_grad_marlik"], [20, 2, 1, "", "get_params_bound"], [20, 2, 1, "", "get_post_fcov"], [20, 2, 1, "", "get_post_fmean"], [20, 2, 1, "", "post_sampling"], [20, 2, 1, "", "predict_sampling"], [20, 2, 1, "", "prepare"], [20, 2, 1, "", "print_params"], [20, 2, 1, "", "set_params"], [20, 2, 1, "", "sub_sampling"]], "physbo.gp.core.prior": [[21, 1, 1, "", "prior"]], "physbo.gp.core.prior.prior": [[21, 2, 1, "", "cat_params"], [21, 2, 1, "", "decomp_params"], [21, 2, 1, "", "get_cov"], [21, 2, 1, "", "get_grad_cov"], [21, 2, 1, "", "get_grad_mean"], [21, 2, 1, "", "get_mean"], [21, 2, 1, "", "sampling"], [21, 2, 1, "", "set_cov_params"], [21, 2, 1, "", "set_mean_params"], [21, 2, 1, "", "set_params"]], "physbo.gp.cov": [[23, 0, 0, "-", "gauss"]], "physbo.gp.cov.gauss": [[23, 1, 1, "", "gauss"]], "physbo.gp.cov.gauss.gauss": [[23, 2, 1, "", "cat_params"], [23, 2, 1, "", "decomp_params"], [23, 2, 1, "", "get_cand_params"], [23, 2, 1, "", "get_cov"], [23, 2, 1, "", "get_grad"], [23, 2, 1, "", "get_params_bound"], [23, 2, 1, "", "load"], [23, 2, 1, "", "prepare"], [23, 2, 1, "", "print_params"], [23, 2, 1, "", "rand_expans"], [23, 2, 1, "", "save"], [23, 2, 1, "", "set_params"], [23, 2, 1, "", "supp_params"]], "physbo.gp.inf": [[25, 0, 0, "-", "exact"]], "physbo.gp.inf.exact": [[25, 4, 1, "", "eval_marlik"], [25, 4, 1, "", "get_grad_marlik"], [25, 4, 1, "", "get_post_fcov"], [25, 4, 1, "", "get_post_fmean"], [25, 4, 1, "", "prepare"]], "physbo.gp.lik": [[27, 0, 0, "-", "gauss"]], "physbo.gp.lik.gauss": [[27, 1, 1, "", "gauss"]], "physbo.gp.lik.gauss.gauss": [[27, 2, 1, "", "get_cand_params"], [27, 2, 1, "", "get_cov"], [27, 2, 1, "", "get_grad"], [27, 2, 1, "", "get_params_bound"], [27, 2, 1, "", "sampling"], [27, 2, 1, "", "set_params"], [27, 2, 1, "", "supp_params"], [27, 2, 1, "", "trans_params"]], "physbo.gp.mean": [[29, 0, 0, "-", "const"], [30, 0, 0, "-", "zero"]], "physbo.gp.mean.const": [[29, 1, 1, "", "const"]], "physbo.gp.mean.const.const": [[29, 2, 1, "", "get_cand_params"], [29, 2, 1, "", "get_grad"], [29, 2, 1, "", "get_mean"], [29, 2, 1, "", "get_params_bound"], [29, 2, 1, "", "init_params"], [29, 2, 1, "", "set_params"], [29, 2, 1, "", "supp_params"]], "physbo.gp.mean.zero": [[30, 1, 1, "", "zero"]], "physbo.gp.mean.zero.zero": [[30, 2, 1, "", "get_grad"], [30, 2, 1, "", "get_mean"], [30, 2, 1, "", "set_params"]], "physbo.gp.predictor": [[31, 1, 1, "", "predictor"]], "physbo.gp.predictor.predictor": [[31, 2, 1, "", "delete_stats"], [31, 2, 1, "", "fit"], [31, 2, 1, "", "get_basis"], [31, 2, 1, "", "get_post_fcov"], [31, 2, 1, "", "get_post_fmean"], [31, 2, 1, "", "get_post_params"], [31, 2, 1, "", "get_post_samples"], [31, 2, 1, "", "get_predict_samples"], [31, 2, 1, "", "prepare"], [31, 2, 1, "", "update"]], "physbo.misc": [[33, 0, 0, "-", "centering"], [34, 0, 0, "-", "gauss_elim"], [35, 0, 0, "-", "set_config"]], "physbo.misc.centering": [[33, 4, 1, "", "centering"]], "physbo.misc.gauss_elim": [[34, 4, 1, "", "gauss_elim"]], "physbo.misc.set_config": [[35, 1, 1, "", "adam"], [35, 1, 1, "", "batch"], [35, 4, 1, "", "boolean"], [35, 1, 1, "", "learning"], [35, 1, 1, "", "online"], [35, 1, 1, "", "search"], [35, 1, 1, "", "set_config"]], "physbo.misc.set_config.adam": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.batch": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.learning": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.online": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.search": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.set_config": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.opt": [[37, 0, 0, "-", "adam"]], "physbo.opt.adam": [[37, 1, 1, "", "adam"]], "physbo.opt.adam.adam": [[37, 3, 1, "", "alpha"], [37, 3, 1, "", "beta"], [37, 3, 1, "", "epoch"], [37, 3, 1, "", "epsilon"], [37, 3, 1, "", "gamma"], [37, 3, 1, "", "grad"], [37, 3, 1, "", "m"], [37, 3, 1, "", "max_epoch"], [37, 3, 1, "", "nparams"], [37, 3, 1, "", "params"], [37, 2, 1, "", "run"], [37, 2, 1, "", "set_params"], [37, 2, 1, "", "update"], [37, 3, 1, "", "v"]], "physbo.predictor": [[38, 1, 1, "", "base_predictor"]], "physbo.predictor.base_predictor": [[38, 2, 1, "", "delete_stats"], [38, 2, 1, "", "fit"], [38, 2, 1, "", "get_basis"], [38, 2, 1, "", "get_post_fcov"], [38, 2, 1, "", "get_post_fmean"], [38, 2, 1, "", "get_post_params"], [38, 2, 1, "", "get_post_params_samples"], [38, 2, 1, "", "get_post_samples"], [38, 2, 1, "", "get_predict_samples"], [38, 2, 1, "", "load"], [38, 2, 1, "", "prepare"], [38, 2, 1, "", "save"], [38, 2, 1, "", "update"]], "physbo.search": [[40, 0, 0, "-", "discrete"], [43, 0, 0, "-", "discrete_multi"], [46, 0, 0, "-", "pareto"], [47, 0, 0, "-", "score"], [48, 0, 0, "-", "score_multi"], [49, 0, 0, "-", "utility"]], "physbo.search.discrete": [[41, 0, 0, "-", "policy"], [42, 0, 0, "-", "results"]], "physbo.search.discrete.policy": [[41, 1, 1, "", "policy"]], "physbo.search.discrete.policy.policy": [[41, 2, 1, "", "bayes_search"], [41, 2, 1, "", "export_history"], [41, 2, 1, "", "export_predictor"], [41, 2, 1, "", "export_training"], [41, 2, 1, "", "get_post_fcov"], [41, 2, 1, "", "get_post_fmean"], [41, 2, 1, "", "get_score"], [41, 2, 1, "", "load"], [41, 2, 1, "", "random_search"], [41, 2, 1, "", "save"], [41, 2, 1, "", "set_seed"], [41, 2, 1, "", "write"]], "physbo.search.discrete.results": [[42, 1, 1, "", "history"]], "physbo.search.discrete.results.history": [[42, 2, 1, "", "export_all_sequence_best_fx"], [42, 2, 1, "", "export_sequence_best_fx"], [42, 2, 1, "", "load"], [42, 2, 1, "", "save"], [42, 5, 1, "", "time_get_action"], [42, 5, 1, "", "time_run_simulator"], [42, 5, 1, "", "time_total"], [42, 5, 1, "", "time_update_predictor"], [42, 2, 1, "", "write"]], "physbo.search.discrete_multi": [[44, 0, 0, "-", "policy"], [45, 0, 0, "-", "results"]], "physbo.search.discrete_multi.policy": [[44, 1, 1, "", "policy"]], "physbo.search.discrete_multi.policy.policy": [[44, 2, 1, "", "bayes_search"], [44, 2, 1, "", "get_post_fcov"], [44, 2, 1, "", "get_post_fmean"], [44, 2, 1, "", "get_score"], [44, 2, 1, "", "load"], [44, 2, 1, "", "load_predictor_list"], [44, 2, 1, "", "load_training_list"], [44, 3, 1, "", "new_data_list"], [44, 2, 1, "", "random_search"], [44, 2, 1, "", "save"], [44, 2, 1, "", "save_predictor_list"], [44, 2, 1, "", "save_training_list"], [44, 2, 1, "", "write"]], "physbo.search.discrete_multi.results": [[45, 1, 1, "", "history"]], "physbo.search.discrete_multi.results.history": [[45, 2, 1, "", "export_pareto_front"], [45, 2, 1, "", "load"], [45, 2, 1, "", "save"], [45, 5, 1, "", "time_get_action"], [45, 5, 1, "", "time_run_simulator"], [45, 5, 1, "", "time_total"], [45, 5, 1, "", "time_update_predictor"], [45, 2, 1, "", "write"]], "physbo.search.pareto": [[46, 1, 1, "", "Pareto"], [46, 1, 1, "", "Rectangles"], [46, 4, 1, "", "dominate"]], "physbo.search.pareto.Pareto": [[46, 2, 1, "", "divide_non_dominated_region"], [46, 2, 1, "", "export_front"], [46, 2, 1, "", "set_reference_max"], [46, 2, 1, "", "set_reference_min"], [46, 2, 1, "", "update_front"], [46, 2, 1, "", "volume_in_dominance"]], "physbo.search.pareto.Rectangles": [[46, 2, 1, "", "add"]], "physbo.search.score": [[47, 4, 1, "", "EI"], [47, 4, 1, "", "PI"], [47, 4, 1, "", "TS"], [47, 4, 1, "", "score"]], "physbo.search.score_multi": [[48, 4, 1, "", "EHVI"], [48, 4, 1, "", "HVPI"], [48, 4, 1, "", "TS"], [48, 4, 1, "", "score"]], "physbo.search.utility": [[49, 4, 1, "", "is_learning"], [49, 4, 1, "", "length_vector"], [49, 4, 1, "", "show_interactive_mode"], [49, 4, 1, "", "show_search_results"], [49, 4, 1, "", "show_search_results_mo"], [49, 4, 1, "", "show_start_message_multi_search"]], "physbo.variable": [[50, 1, 1, "", "variable"]], "physbo.variable.variable": [[50, 2, 1, "", "add"], [50, 2, 1, "", "add_X"], [50, 2, 1, "", "add_Z"], [50, 2, 1, "", "add_t"], [50, 2, 1, "", "delete"], [50, 2, 1, "", "delete_X"], [50, 2, 1, "", "delete_Z"], [50, 2, 1, "", "delete_t"], [50, 2, 1, "", "get_subset"], [50, 2, 1, "", "load"], [50, 2, 1, "", "save"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "attribute", "Python attribute"], "4": ["py", "function", "Python function"], "5": ["py", "property", "Python property"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:attribute", "4": "py:function", "5": "py:property"}, "terms": {"": [53, 57, 58, 60], "0": [1, 8, 10, 14, 23, 27, 29, 33, 41, 42, 44, 47, 53, 54, 56, 57, 58, 59, 60, 61, 62], "00043006": 56, "00056069": 56, "00070103": 56, "00073499": 56, "00075529": 56, "0010": 54, "0016925": 56, "002": 57, "0020": [57, 58], "00323733": 56, "00420815": 56, "008107085662147708": 56, "01": 60, "01301176": 58, "01487066": [58, 61], "02044168": 58, "045502": [56, 58], "048733": 58, "05572838": 61, "05939674": 56, "06": [23, 27], "075990": 57, "09067194": 60, "09302189053099": 62, "0x7f8130b30f70": 57, "0x7f8130b84070": 57, "0x7f816129d820": 57, "0x7f81613d8370": 57, "0x7f9920ef7460": 61, "0x7f9930b43f10": 61, "0x7f9950ec84f0": 61, "0x7fe0d9310580": 58, "0x7fe0d93eaaf0": 58, "1": [1, 6, 8, 10, 14, 20, 21, 23, 27, 31, 33, 34, 41, 44, 47, 48, 54, 56, 57, 58, 59, 60, 61, 62], "10": [27, 54, 56, 57, 58, 59, 60, 61], "100": [56, 61, 62], "1000000": [23, 27], "1000000000000": 29, "10001": 57, "101": 60, "1016": 54, "10162": 62, "10201": 60, "1022": 58, "108405": 54, "10872736571494": 62, "10923758": 56, "11": [56, 57, 58], "11076236": 56, "1167759139516": 56, "11680203": 58, "11732": 62, "1177": 6, "1184": 6, "11964735598211": 62, "12": [56, 57, 58, 61], "123": 61, "12623": 62, "13": [56, 57, 58], "1316": 56, "1326": 62, "13268": 62, "13781": 62, "14": [56, 57, 58, 60], "15": [56, 57, 58, 60], "150": [56, 62], "150313": 57, "1546": 56, "15617": 62, "1568": 56, "15922": 62, "16": [56, 57, 58, 60], "1623851368954": 56, "16415446221006114": 60, "16537": 62, "1660": 56, "16753": 62, "17": [56, 58, 60], "1719": 56, "17190645": 60, "17312": 56, "17451": 62, "1798": 56, "18": [47, 56], "19": [53, 57, 60], "1999": 60, "1d": 56, "1e": [23, 27], "1st": 59, "2": [1, 27, 31, 41, 44, 47, 56, 57, 58, 59, 60, 61, 62], "20": [57, 58, 60, 61, 62], "200": [56, 62], "2007": 6, "2014": [48, 60], "2015": 60, "2016": [47, 56, 58], "2020": 54, "2022": 54, "21": [47, 60], "210": [56, 58, 59, 61, 62], "22": 60, "22884748": 61, "23": [60, 62], "2376881844865093": 60, "24": 62, "249": 56, "25": [60, 62], "250": [56, 62], "26": [60, 62], "26132949": 60, "27": 62, "278": 54, "28": 60, "28468708456558": 56, "2847129159145": 56, "29": 60, "29208351": 60, "292745798703": 56, "2949": 57, "2nd": 59, "3": [1, 23, 38, 53, 54, 56, 57, 58, 59, 60, 61, 62], "300": [56, 62], "30051687493437484": 60, "3107": 62, "31220145003": 56, "3200467412741881": 60, "3269": 56, "32877907991633726": 60, "331572599126865": 62, "350": [56, 62], "3930580794922": 56, "3dihub": 54, "3rd": 59, "4": [47, 56, 57, 58, 59, 60, 61, 62], "40": 60, "400": [56, 62], "41": 60, "42342027124426": 62, "450": [56, 62], "45544347": 56, "4563": 62, "4579": 62, "46385011": [58, 62], "4655": 54, "4815": 62, "48876352": 58, "4971452": 58, "4985373": 58, "4th": 59, "5": [56, 58, 59, 60, 62], "50": [56, 57, 60, 62], "500": [56, 57, 62], "5000": [58, 59, 60, 62], "5056128528097": 56, "517235815448124": 62, "52191048": 60, "55": [56, 58], "5734": 58, "575": 60, "59219588": 58, "594": 60, "6": [53, 56, 58, 59, 60, 61, 62], "60": 60, "6291": 56, "63329589": 60, "664": 56, "6680279": 62, "67892333553869": 62, "6809532065581": 56, "68585446": [58, 62], "7": [56, 57, 58, 60, 61], "71079785": 58, "7157": 62, "72845916": 60, "7298135295766": 56, "73": 62, "7604930929888": 56, "8": [56, 57, 58, 60, 61], "80": [58, 61], "81666924": 56, "817906570042602": 62, "8208": 62, "822598600211865": 62, "82299469827059": 62, "8288": 57, "83020118385076": 62, "8484": 62, "869": 56, "87913689": 60, "9": [56, 57, 58, 60], "91382463": 60, "91578975": 56, "92": 60, "9235": 62, "92633083": 60, "95713719": 60, "96": 60, "963795": 58, "97015759": 56, "97840623": 56, "99": 60, "9938": 62, "A": [1, 6, 23, 27, 29, 34, 38, 50, 56, 58, 59, 60, 61, 62], "As": [1, 59, 60, 61, 62], "At": 1, "By": [1, 54, 56], "For": [1, 53, 56, 57, 58, 59, 60], "If": [1, 14, 20, 21, 23, 25, 31, 41, 42, 44, 47, 50, 51, 53, 56, 57, 58, 60, 61], "In": [1, 41, 44, 53, 54, 56, 57, 58, 59, 60, 61, 62], "It": [1, 53, 54, 59, 60], "No": 60, "Not": 30, "OF": 60, "On": 54, "The": [0, 1, 19, 20, 23, 25, 27, 38, 41, 42, 44, 50, 53, 54, 56, 57, 58, 60, 61, 62], "Then": 1, "There": 54, "These": [41, 44], "To": [51, 57, 58], "With": [1, 61], "_": [1, 58, 59, 61], "_0": 1, "_1": 1, "_2": 1, "__call__": [41, 44, 57, 58, 59, 60, 61], "__dict__": 38, "__init__": [57, 58, 59, 60, 61], "_at_": 51, "_i": [1, 60], "_init_param": [11, 13], "_j": 60, "_n": 1, "_sectoin": 35, "about": [20, 35, 41, 44, 51, 52, 53], "abov": [1, 53, 56, 57, 58, 60, 62], "abstract": 53, "ac": 51, "acceler": [52, 54, 56, 58], "access": 54, "accord": 1, "achiev": [1, 54], "acknowledg": 52, "acquisit": [1, 41, 44, 47, 53, 55, 58], "action": [41, 42, 44, 45, 50, 53, 55, 57, 58, 59, 60, 61], "action_idx": 57, "actoin": 62, "actual": [56, 58], "ad": [1, 27, 50], "adam": [3, 17, 18, 19, 32, 35, 36], "add": [1, 3, 39, 46, 50, 53], "add_t": [3, 50], "add_x": [3, 50], "add_z": [3, 50], "addit": 1, "address": 51, "advanc": [0, 1, 6, 54, 58, 60, 62], "afit": 60, "after": 56, "again": [60, 62], "air": 60, "al": 48, "algorithm": [19, 52, 53, 54, 60], "all": [1, 16, 20, 41, 42, 44, 51, 53, 54, 57, 58, 60, 62], "allow": 61, "almost": 1, "along": 33, "alpha": [6, 8, 10, 14, 20, 31, 34, 36, 37, 41, 44, 47, 48, 57], "alreadi": [14, 31, 37, 56, 58], "also": [53, 56, 57, 58, 59, 60, 61], "although": [56, 58], "among": [1, 53, 54, 60], "amount": 54, "amp": 23, "an": [1, 13, 20, 29, 35, 41, 44, 51, 53, 54, 56, 57, 58, 59, 61, 62], "analys": 60, "ani": [51, 60], "anoth": [8, 56], "answer": 57, "api": [52, 53, 60], "append": [56, 57], "appendix": 55, "appl": [56, 58], "appli": [53, 58], "approach": [56, 58], "approxim": 1, "aquis": [41, 44], "aquisit": [41, 44], "ar": [1, 16, 41, 44, 47, 50, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "arbitari": 1, "ard": [23, 56], "arg": [31, 37, 38], "argmin": 57, "argument": [53, 57, 58, 61], "arm": 60, "arrai": [1, 19, 20, 23, 25, 27, 29, 33, 41, 42, 44, 50, 56, 57, 58, 59, 60, 61], "array_lik": [29, 34], "arriv": 57, "articl": 54, "artif": 60, "asarrai": [56, 58, 59, 61, 62], "ascend": [46, 60], "associ": [1, 53], "assum": [41, 44, 58], "attempt": 54, "author": 54, "automat": [1, 54], "auxiaiali": 10, "auxial": [8, 10], "avail": [41, 44, 47, 54], "ax": 57, "axi": 60, "b": [1, 6, 10, 19, 23], "b_1": 1, "b_l": 1, "bandit": 60, "base": [6, 8, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 35, 37, 38, 41, 42, 44, 45, 46, 47, 48, 50, 54], "base_predictor": [2, 3, 14, 31, 38], "basi": [3, 4, 8, 10, 11, 12, 13, 14, 16, 19, 20, 23, 31, 38, 41, 44, 57, 58], "basic": [52, 55, 60, 61], "batch": [3, 17, 18, 19, 32, 35], "bayes_search": [40, 41, 43, 44, 53, 57, 58, 59, 60, 61, 62], "bayesian": [4, 41, 44, 52, 53, 54, 55, 56, 59, 61, 62], "baysean": [8, 14, 20, 53], "becaus": 1, "becom": [1, 53], "been": [1, 54, 56, 58], "begin": [1, 60], "below": [1, 61], "benchmark": 60, "bernard": 60, "best": [1, 53, 57, 58, 61], "best_act": [42, 53, 57, 58, 61], "best_fx": [42, 57, 58, 61], "beta": [36, 37], "better": [1, 54, 60], "between": [1, 53, 60, 61], "bf": 1, "bfg": 19, "bia": [6, 11, 12, 13], "bibtex": 54, "blm": [2, 3, 20, 53], "blm_predictor": [41, 44], "blue": [57, 60], "boldsymbol": 1, "bool": [8, 10, 20, 21, 23, 25, 31, 41, 44], "boolean": [3, 32, 35], "both": [41, 44, 60], "bound": [20, 23, 27, 29, 46, 60], "boundari": [20, 23, 27, 29], "bug": 51, "c": [54, 60], "c_": 60, "calcualt": [41, 44], "calcul": [1, 8, 10, 12, 13, 14, 16, 20, 21, 25, 31, 34, 37, 41, 44, 47, 48, 52, 55, 56, 57, 58], "calculated_id": 62, "call": [1, 57, 58, 60], "callabl": [41, 44], "can": [1, 29, 53, 54, 57, 58, 59, 60, 61, 62], "candid": [1, 19, 20, 21, 23, 25, 27, 29, 33, 41, 42, 44, 50, 52, 53, 54, 55, 57], "cannot": 62, "capit": 54, "case": [1, 57, 59, 60, 61, 62], "cat_param": [18, 20, 21, 22, 23], "cccc": 1, "cd": 53, "cdot": [1, 60], "center": [3, 32, 53, 54, 56, 58, 59, 61, 62], "characterist": 54, "check": [53, 55], "chemistri": 54, "choic": 56, "choleski": [1, 54], "choos": [41, 44, 53, 57], "chop": 57, "chosen": 1, "chosen_act": [42, 53, 57, 58], "citat": 52, "cite": 54, "citi": 54, "class": [6, 8, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 35, 37, 38, 41, 42, 44, 45, 46, 47, 50, 53, 55, 58, 59, 60, 61], "classif": 60, "clone": 53, "co": [1, 6], "coeffici": [1, 6], "collect": 57, "color": 57, "colorbar": 60, "column": [1, 33, 58], "com": [53, 54], "combo": 54, "comm": [41, 44, 57], "comm_world": 57, "command": 53, "common": 54, "commun": [54, 57], "compani": 54, "compar": 60, "compil": 51, "complex": [1, 53, 54], "compon": 16, "composit": [1, 54], "comput": [1, 6, 16, 23, 54, 58, 60], "computation": 54, "concatin": [20, 23], "condit": 1, "config": [4, 14, 19, 20, 31, 35, 38, 41, 44, 56], "configur": [14, 35], "consid": 1, "const": [17, 28, 56], "constant": 29, "constraint": 62, "constructor": 57, "consult": 51, "contact": 52, "content": [2, 60], "control": [53, 57, 58, 59], "convert": 29, "cooper": 51, "copyright": 54, "core": [3, 4, 10, 14, 17, 25], "corner": 60, "correct": 57, "correspond": [19, 41, 44, 58], "cost": 1, "costli": [1, 53, 54], "couckuyt": [48, 60], "cov": [3, 11, 12, 15, 16, 17, 20, 21, 41, 44, 56], "cov_const": [4, 15, 16], "cov_param": 21, "covari": [8, 10, 12, 14, 16, 20, 21, 23, 25, 27, 31, 38, 41, 44, 56], "cpc": 54, "creat": [53, 57], "criteria": [48, 60], "csv": [56, 58, 59, 61, 62], "cu": [56, 58], "cumul": 1, "current": [1, 23, 37, 53, 57, 58], "custom": 58, "d": [1, 6, 13, 19, 20, 21, 23, 25, 33, 41, 44, 50, 53, 57, 58, 60], "data": [1, 6, 8, 14, 20, 21, 29, 31, 42, 47, 54, 55, 57], "dataset": [8, 14, 20, 31, 41, 44, 47, 56, 59, 61, 62], "david": 60, "ddot": 1, "declar": 57, "decomp_param": [18, 20, 21, 22, 23], "decompos": [20, 21, 23], "decomposit": 1, "def": [56, 57, 58, 59, 60, 61, 62], "default": [6, 8, 10, 12, 13, 14, 16, 19, 20, 31, 38, 41, 42, 44, 47, 53, 57, 58], "defin": [1, 23, 29, 30, 38, 41, 44, 47, 53, 55, 58, 60, 61], "definit": [55, 56], "del": [57, 58, 59], "delet": [3, 31, 38, 50, 59], "delete_stat": [3, 4, 14, 17, 31, 38], "delete_t": [3, 50], "delete_x": [3, 50], "delete_z": [3, 50], "delimit": [56, 58, 59, 61, 62], "denot": [19, 20, 21, 23, 25, 33, 41, 44, 50], "densiti": 1, "depend": [57, 58], "deschrijv": 60, "describ": [1, 53, 61], "design": [54, 57], "detail": [1, 53, 54, 57, 58], "deterior": 60, "determin": 1, "dev": 53, "dev__at__issp": 51, "develop": [0, 52, 53], "deviat": [27, 33, 56], "dhaen": 60, "diag": [8, 10, 20, 21, 23, 25, 31], "diagon": [8, 10, 20, 21, 23, 25, 27], "diagonl": 31, "differ": [1, 53, 60, 61], "difficult": [51, 54], "dimens": [1, 6, 12, 30, 37, 53, 57, 58], "dimension": [1, 19, 20, 21, 23, 25, 27, 33, 41, 42, 44, 50, 53, 57, 58, 60], "dimenst": [41, 42, 44], "direct": [53, 58], "directori": 53, "dirk": 60, "discoveri": [47, 54], "discret": [3, 39, 44, 53, 57, 58, 59, 60, 61, 62], "discrete_multi": [3, 39, 60], "disp_marlik": [18, 19], "disp_pareto_set": [44, 49, 60], "displai": [19, 57, 60], "distribut": [1, 8, 41, 44, 47, 53, 57, 60], "divide_non_dominated_region": [39, 46], "divis": 57, "do": [1, 53, 60], "doe": [14, 31, 58], "doi": 54, "dom_rul": 46, "domin": [3, 39, 46], "dominance_ratio": 46, "don": 53, "done": [1, 37, 56, 57, 58, 60, 62], "dot": 60, "draw": [8, 10, 12, 14, 20, 31], "driven": 54, "dtype": 46, "due": [54, 62], "dump": [38, 59], "dure": 51, "e": [1, 41, 42, 44, 51, 53, 54, 56, 57, 58, 60], "each": [1, 16, 19, 20, 21, 23, 25, 27, 31, 33, 38, 41, 42, 44, 50, 53, 57, 58, 59, 60, 61], "earli": 51, "easili": 60, "effect": 54, "effici": 60, "ehvi": [3, 39, 48], "ei": [1, 3, 39, 41, 44, 47, 53, 57, 58, 59, 61], "elaps": [41, 42, 44], "element": [16, 19, 23, 27], "empti": 30, "enabl": 57, "end": [1, 60], "energi": [19, 20, 23, 25, 27, 41, 42, 44, 50, 58], "eng": 60, "engin": 60, "ensurepip": 53, "enter": 51, "epoch": [19, 36, 37, 56, 62], "epsilon": [36, 37], "error": 56, "estim": [1, 54], "et": 48, "eta": 1, "etc": [1, 57], "eur": 60, "eval_marlik": [17, 18, 20, 24, 25], "eval_t": 19, "eval_x": 19, "evalu": [1, 20, 25, 53, 54, 55, 56, 57, 58, 59, 61], "everi": 1, "evolutionari": 60, "exact": [4, 8, 9, 17, 20, 24, 31], "exampl": [1, 56, 57, 58, 59, 61], "exceed": [1, 53], "execut": [51, 53, 55, 57, 58], "exist": [52, 55, 58, 60], "exp": [1, 27, 60], "expans": 23, "expect": [1, 41, 44, 47, 48, 53, 57, 58], "expens": 54, "experi": [1, 53, 54, 57, 58, 59], "experiment": [1, 53, 54], "explanatori": 1, "explor": [1, 53], "export": [20, 42], "export_all_sequence_best_fx": [40, 42, 53, 57, 58, 61], "export_blm": [18, 20], "export_front": [39, 46], "export_histori": [40, 41], "export_pareto_front": [43, 45, 60], "export_predictor": [40, 41], "export_sequence_best_fx": [40, 42, 61], "export_train": [40, 41], "extent": 60, "extern": [53, 57, 58, 59, 62], "f": [37, 41, 44, 57, 58], "fals": [19, 21, 23, 35, 41, 44, 46, 49, 56], "fast": [10, 48, 54, 60], "fbest": [53, 57, 58], "fcov": 56, "featur": [1, 6, 8, 10, 12, 13, 14, 19, 20, 21, 23, 25, 33, 41, 44, 50, 54], "few": [1, 54], "field": 54, "figsiz": 60, "figur": 60, "file": [23, 35, 38, 41, 42, 44, 50, 51, 53, 56, 57, 58, 59, 61, 62], "file_histori": [41, 44, 59], "file_nam": [23, 35, 38, 44, 50], "file_predictor": [41, 44, 59], "file_predictor_list": 44, "file_train": [41, 44, 59], "file_training_list": 44, "filenam": [42, 45], "fill": [29, 41, 42, 44], "fill_between": 57, "final": 57, "find": [1, 54, 56, 57, 58, 60], "first": [1, 8, 41, 44, 46, 53, 56, 57, 58], "fit": [3, 4, 14, 17, 18, 20, 31, 38, 56], "flag": 31, "flexibli": 59, "float": [8, 10, 12, 13, 14, 16, 20, 21, 23, 25, 31, 37, 41, 44, 47], "flow": [52, 62], "fmax": 47, "fmean": [12, 27, 48, 56], "follow": [1, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "foral": 60, "forc": 60, "force_binary_search": 46, "form": 57, "format": [56, 57], "fourier": [4, 5, 12], "frac": 1, "from": [0, 1, 8, 21, 23, 35, 38, 41, 44, 50, 53, 54, 55, 56, 57, 58, 59, 60, 61], "front": 60, "front_num": 60, "frontier": 54, "fstd": 48, "full": 55, "funciton": [41, 44], "function": [1, 8, 12, 20, 23, 25, 27, 31, 37, 38, 41, 42, 44, 47, 50, 53, 54, 55, 56, 58, 59, 62], "fx": [42, 53, 57, 58, 60, 61], "fx_list": 57, "g": [1, 23, 37, 41, 42, 44, 53, 54, 57, 58], "gamma": [36, 37], "gauss": [4, 8, 11, 15, 17, 22, 26, 56], "gauss_elim": [3, 32], "gaussian": [1, 12, 16, 21, 23, 27, 41, 44, 52, 53, 54, 55, 57, 58], "gener": [1, 54, 56, 57, 60], "get": [20, 23, 27, 29, 38, 41, 42, 44, 50, 55, 59, 61], "get_basi": [3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 17, 31, 38], "get_cand_param": [18, 20, 22, 23, 26, 27, 28, 29], "get_cov": [11, 12, 15, 16, 18, 21, 22, 23, 26, 27], "get_grad": [22, 23, 26, 27, 28, 29, 30], "get_grad_cov": [18, 21], "get_grad_marlik": [17, 18, 20, 24, 25], "get_grad_mean": [18, 21], "get_mean": [11, 12, 13, 15, 16, 18, 21, 28, 29, 30], "get_one_upd": [18, 19], "get_params_bound": [18, 20, 22, 23, 26, 27, 28, 29], "get_post_fcov": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "get_post_fmean": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "get_post_param": [3, 4, 14, 17, 31, 38], "get_post_params_mean": [4, 7, 8, 9, 10], "get_post_params_sampl": [3, 38], "get_post_sampl": [3, 4, 14, 17, 31, 38], "get_prec": [11, 12, 15, 16], "get_predict_sampl": [3, 4, 14, 17, 31, 38], "get_scor": [40, 41, 43, 44, 57], "get_subset": [3, 50], "git": 53, "github": [51, 53], "give": [1, 19, 53, 58, 59], "given": [1, 41, 44, 47, 54, 56, 58], "global": 60, "gnu": 54, "good": [1, 54, 60], "gp": [2, 3, 53, 56], "gp_param": 56, "grad": [23, 36, 37], "grad_marlik": [20, 25], "gradiant": [20, 21, 23, 25], "gradient": [27, 37], "graduat": 54, "greater": [23, 27], "grid": [57, 60], "gt": [57, 58, 61], "guess": 19, "guidelin": 51, "h": [56, 58], "ha": [53, 54, 60], "half": [12, 16], "hand": 54, "handl": 54, "have": [1, 16, 51, 53, 56, 57, 58, 60], "here": [41, 44, 55, 57, 62], "high": 54, "higher": 53, "highest": 53, "histori": [39, 40, 41, 42, 43, 44, 45, 49, 53, 57, 58, 59, 60, 61], "hold": 29, "home": 53, "hour": [56, 58], "how": [53, 57], "http": [53, 54], "hvpi": [3, 39, 44, 48], "hyper": [19, 41, 44, 48, 56, 62], "hyperparamet": [1, 54, 57, 58], "hyperparemt": [41, 42, 44], "hypervolum": 48, "i": [1, 6, 19, 20, 21, 23, 25, 27, 38, 41, 42, 44, 46, 47, 50, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "id": [53, 55, 57, 58, 59, 60, 61], "id_al": 56, "id_test": 56, "id_train": 56, "ignor": 14, "ii": [53, 57, 58], "immedi": 56, "implement": [54, 60], "import": [56, 57, 58, 59, 60, 61, 62], "improv": [1, 41, 44, 47, 48, 53, 57, 58], "imshow": 60, "includ": 56, "independ": [16, 19, 23, 27], "index": [41, 42, 44, 50, 57], "indic": [57, 60], "inf": [3, 4, 8, 17, 20], "inferior": 60, "inform": [6, 23, 35, 38, 41, 42, 44, 51, 53, 56, 58, 61], "infti": 1, "ini": 35, "init_param": [28, 29], "init_params_search": [18, 19], "initi": [1, 8, 10, 13, 14, 19, 29, 31, 53, 56, 57, 58, 62], "initial_data": [41, 44, 62], "inlin": [57, 58, 60, 61], "innov": 60, "input": [6, 8, 10, 12, 13, 14, 20, 29, 31, 35, 37, 41, 44, 47, 51, 53, 56, 58, 60, 61], "insid": [53, 57, 58], "inst": 60, "instal": [51, 52], "instead": [53, 57, 58], "institut": [0, 54], "int": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 37, 41, 44, 50, 56, 57], "integ": [41, 44], "intel": 60, "interact": [52, 53, 55, 57, 58, 62], "interfac": [56, 58], "intern": 54, "interv": [41, 44, 49, 57, 58, 59, 60, 61, 62], "introduc": [1, 55, 56, 57], "introduct": [52, 55], "inv": 16, "is_disp": [19, 41, 44], "is_learn": [3, 39, 49], "isotrop": 16, "issn": 54, "issp": 53, "issu": 51, "iter": [1, 19], "itertool": [57, 60], "its": [51, 53, 57, 58], "itself": [41, 44, 60], "ivo": 60, "j": [54, 56, 58, 60], "journal": [54, 60], "jp": 51, "jpn": [56, 58], "june": 47, "k": [1, 56, 58], "kawashima": 54, "kazuyoshi": 54, "keep": 61, "kei": 54, "kernel": [1, 6, 8, 23], "keyword": [54, 57], "kind": 47, "kiyohara": [56, 58], "know": 1, "known": 1, "koji": 54, "krige": [56, 58], "kwarg": [37, 47, 48], "kwd": [31, 38], "l": [1, 6, 13, 19, 34], "label": [8, 10], "land": 60, "larg": [6, 54], "larger": 60, "largest": [1, 53, 54, 60], "lb": 46, "ldot": 1, "le": 60, "learn": [1, 3, 17, 18, 32, 35, 41, 42, 44, 53, 54, 55, 57, 58, 60, 62], "learning_config": 35, "least": [57, 58], "left": [1, 60, 62], "len": [14, 31, 56], "length_vector": [3, 39, 49], "less": [23, 27], "let": [57, 58, 60], "level": 53, "librari": 54, "licens": 52, "life": 54, "lik": [3, 4, 7, 8, 10, 17, 20, 56], "lik_param": 20, "like": 0, "likelifood": 20, "likelihood": [19, 20, 25, 27, 56, 62], "limit": 1, "linalg": 34, "line": [57, 58, 61], "line2d": [57, 58, 61], "linear": [1, 4, 8, 10, 11, 12, 14, 20, 53, 57, 58], "linspac": [57, 60], "list": [1, 20, 23, 27, 29, 41, 44, 53, 54, 60, 61, 62], "load": [3, 22, 23, 32, 35, 38, 40, 41, 42, 43, 44, 45, 50, 53, 56, 57, 58, 59, 61, 62], "load_data": [56, 58, 59, 61, 62], "load_predictor_list": [43, 44], "load_training_list": [43, 44], "loadtxt": [56, 58, 59, 61, 62], "log": [12, 16, 23, 27, 53], "logarithm": 23, "long": 62, "longleftrightarrow": 60, "loop": [53, 57, 58], "lower": [46, 60], "lt": [57, 58, 61], "m": [34, 36, 37, 53], "mach": 60, "machin": [1, 6, 54], "magn": 54, "mail": 51, "main": 52, "mainli": 54, "make": [1, 20, 54, 56], "manag": 54, "manderick": 60, "mani": 54, "manner": 1, "manual": 59, "map": [1, 6, 8, 10, 12, 13, 14, 20, 54], "margin": [19, 20, 25, 56, 62], "marlik": [20, 25], "match": 34, "materi": [0, 1, 47, 53, 54], "mathbf": 1, "mathcal": 1, "matplotlib": [57, 58, 60, 61], "matrix": [1, 6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 31, 33, 34, 41, 44, 50, 57, 58], "max": [1, 47, 54], "max_epoch": [19, 36, 37], "max_it": 19, "max_num_prob": [41, 44, 57, 58, 59, 60, 61, 62], "max_param": [20, 23, 27, 29], "max_scal": 23, "max_width": 23, "maxim": [1, 46, 53, 58, 60], "maximum": [1, 19, 23, 27, 29, 37, 41, 44, 47, 53, 57, 60], "mean": [1, 3, 8, 10, 12, 13, 14, 16, 17, 20, 21, 25, 31, 33, 38, 41, 44, 47, 56, 57, 58, 60], "mean_param": 21, "median": 29, "medic": 54, "merg": [41, 44], "messag": [41, 44, 60], "method": [1, 7, 8, 37, 53, 57, 58, 60], "min": 56, "min_param": [20, 23, 27, 29], "min_scal": 23, "min_width": 23, "mind": 61, "minim": [53, 58], "minimum": [19, 23, 27, 29, 57, 60], "misc": [2, 3, 14, 20, 53, 54, 56, 58, 59, 61, 62], "mizoguchi": [56, 58], "mode": [41, 44, 47, 48, 57], "model": [1, 4, 7, 10, 14, 17, 18, 25, 31, 38, 53, 54, 55, 57, 58, 59], "modul": [2, 52, 53], "more": [1, 53, 56, 57, 58, 60, 61], "motoyama": 54, "motoyama2022108405": 54, "mpi": [41, 44, 57], "mpi4pi": 57, "mu": 1, "mu_c": 1, "multi": [41, 44, 52, 54, 55], "multiobject": [48, 60], "multipl": [52, 53, 55, 57, 58, 60], "multipli": [31, 57, 58, 60], "multivariate_norm": [31, 41, 44], "must": [31, 38, 56, 57], "mutat": 10, "n": [1, 6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 31, 33, 34, 41, 42, 44, 49, 50, 53, 56, 58, 60], "n_dim": 46, "name": [23, 35, 38, 41, 42, 44, 50], "nanoarchitecton": 54, "naoki": 54, "nation": 54, "nbasi": [5, 6, 7, 8, 11, 13, 15, 16], "ndarrai": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 34, 37, 41, 42, 44, 47, 56, 57], "need": 1, "neg": [19, 20, 23, 25, 27, 41, 42, 44, 50, 53, 57, 58], "neither": [41, 44], "netw": 60, "neural": [6, 60], "new": [10, 29, 46, 56, 60], "new_data_list": [43, 44], "newli": 1, "next": [1, 41, 42, 44, 53, 55, 57, 58, 59, 60], "nois": [8, 10, 14, 20, 27, 47], "non": [46, 60], "none": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 35, 38, 41, 42, 44, 45, 46, 47, 48, 49, 50, 59, 62], "nor": [41, 44], "normal": [33, 53, 56, 57, 58], "note": [1, 10, 41, 44, 56, 57, 60], "notimplementederror": 47, "now": [1, 57, 58], "np": [13, 31, 41, 44, 56, 57, 58, 59, 60, 61, 62], "nparam": [36, 37], "npz": [57, 58, 59], "ntest": 56, "ntrain": 56, "num_basi": [14, 20, 23, 31], "num_data": [21, 27, 29, 30], "num_dim": 23, "num_epoch": 19, "num_object": [44, 45, 46, 60], "num_param": [23, 27, 29], "num_rand_basi": [41, 44, 57, 58, 59, 60, 61, 62], "num_row": 50, "num_run": [42, 60], "num_search_each_prob": [41, 44, 61], "number": [1, 6, 8, 10, 13, 14, 16, 19, 20, 21, 23, 27, 29, 31, 37, 41, 42, 44, 53, 54, 56, 57, 58, 60, 61], "numer": [1, 53, 57, 58, 60], "numpi": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 37, 41, 42, 44, 47, 50, 53, 56, 57, 58, 59, 60, 61, 62], "nxn": 12, "o": 1, "object": [1, 6, 8, 12, 13, 16, 19, 20, 21, 23, 25, 27, 29, 30, 35, 37, 38, 41, 42, 44, 45, 46, 47, 50, 52, 53, 54, 55, 56, 57, 58, 59], "obtain": [1, 56, 57, 58, 61, 62], "occupi": 60, "occur": 51, "oda": [56, 58], "off": 60, "oh": 60, "omega": 1, "omega_1": 1, "omega_l": 1, "onc": [52, 53, 55, 57, 58], "one": [1, 23, 53, 54, 56, 57, 58, 60], "one_run": [18, 19], "ones": 29, "onli": [8, 10, 41, 44, 47, 57, 58], "onlin": [3, 17, 18, 19, 32, 35], "open": [54, 62], "oper": 51, "opt": [2, 3, 53], "optim": [19, 20, 23, 25, 27, 37, 41, 42, 44, 48, 50, 52, 53, 54, 55, 56, 62], "optimaz": 53, "optimum": 57, "option": [8, 37, 53], "order": [1, 46, 56, 58, 60], "ordinari": [41, 44], "org": 54, "origin": [58, 60], "other": [1, 10, 16, 51, 53, 54, 57, 58, 60], "otherwis": 14, "output": [41, 44, 51, 53, 56], "outsid": [53, 57, 58, 59], "overview": 1, "overwrit": 42, "overwritten": [31, 38], "p": [1, 60], "packag": [2, 54], "page": [47, 51, 54], "pair": 60, "parallel": [41, 44, 55], "param": [5, 6, 11, 12, 13, 15, 16, 19, 20, 21, 23, 25, 27, 29, 30, 36, 37, 56], "paramet": [1, 6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 46, 47, 50, 53, 54, 55, 56, 57, 58, 59], "pareto": [3, 39, 44, 48], "part": 54, "pass": [37, 53, 57, 60], "pattersonafb": 60, "peak": 60, "per": [56, 58], "perform": [1, 19, 41, 44, 53, 54, 55, 56, 59, 62], "phi": 1, "phy": [56, 58], "phybo": 58, "physbo": [0, 51, 53, 55, 56, 60, 61], "physic": [0, 54], "pi": [1, 3, 39, 41, 44, 47, 53, 57, 58], "pickl": 38, "piec": 1, "pii": 54, "pip": 53, "pip3": 53, "pleas": [1, 51, 53, 54, 56, 57, 58], "plot": [55, 57, 58, 61], "plot_pareto_front": 60, "plt": [57, 58, 60, 61], "point": [46, 53, 57, 60, 62], "polici": [39, 40, 43, 53, 55, 59, 61, 62], "polycollect": 57, "posit": 60, "possibl": [1, 53, 54, 56, 57, 58, 59], "post": [41, 44, 57], "post_sampl": [7, 8, 18, 20], "posterior": [1, 8, 10, 14, 20, 25, 31, 47, 53, 60], "pp": 6, "pre": 56, "prec": [15, 16, 60], "precis": [12, 16], "precomput": 55, "predicetd": 53, "predict": [1, 14, 31, 38, 53, 54, 55, 59], "predict_sampl": [7, 8, 18, 20], "predictor": [2, 3, 4, 17, 20, 41, 42, 44, 47, 53, 59], "predictor_list": [44, 48], "prepar": [1, 3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 22, 23, 24, 25, 31, 38, 53, 55], "preprocess": 53, "present": 57, "previou": [59, 61, 62], "print": [6, 20, 56, 57, 58, 62], "print_param": [18, 20, 22, 23, 56], "prior": [3, 4, 7, 8, 17, 18, 20, 56], "prior_param": 20, "probabl": [1, 41, 44, 47, 48, 53, 57, 58], "problem": [1, 46, 51, 53, 54, 56, 57, 58, 60], "proc": 60, "procedur": 56, "process": [1, 6, 21, 41, 44, 52, 53, 54, 55, 57, 58, 59, 62], "product": 60, "project": [0, 54], "properti": [1, 42, 45, 53, 54], "propos": [53, 57, 58, 59], "protocol": 38, "psi": [6, 8, 10, 12, 13, 14], "public": 54, "py": [41, 44, 53], "pypi": 53, "pyplot": [57, 58, 60, 61], "python": [53, 54], "python3": 53, "q": 60, "question": 51, "quick": 10, "rahimi": 6, "rais": [41, 44, 47], "rand_expan": [22, 23], "random": [1, 6, 8, 13, 31, 41, 44, 54, 56, 59, 61, 62], "random_search": [40, 41, 43, 44, 53, 57, 58, 59, 60, 61], "randomli": [53, 56, 60], "rang": [57, 58, 60, 62], "rank": [41, 44, 54], "rather": [53, 57, 58], "raw": 12, "re": [53, 57, 58, 60, 61], "read": [52, 55, 56], "real": [1, 19, 23, 27, 53, 54, 56], "receiv": [41, 44, 58], "recht": 6, "recommend": [53, 60], "recov": 23, "rectangl": [3, 39, 46, 60], "red": 60, "reduc": [1, 54, 60], "reduced_candidate_num": 48, "ref_max": [46, 60], "ref_min": [46, 60], "refer": [1, 6, 48, 52, 53, 54, 56, 57, 58, 60], "reference_max": 46, "reference_min": 46, "refernc": 60, "region": 23, "regist": [53, 55, 56, 57, 58, 59], "regress": [1, 53, 54, 56], "relat": [1, 60], "relax": [56, 58], "repeat": [1, 54, 60, 62], "replac": [51, 56], "report": 51, "repositori": 53, "repres": [1, 19, 41, 44, 58], "requir": [57, 58], "res_al": 60, "res_ehvi": 60, "res_hvpi": 60, "res_random": 60, "res_t": 60, "research": [51, 54], "reserv": 54, "reset": [14, 18, 19], "reshap": [56, 57, 60], "resolv": 51, "respect": [33, 57, 58, 60], "restart": [52, 55], "result": [1, 29, 39, 40, 41, 43, 44, 52, 53, 55, 56, 59], "retriev": 57, "return": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 41, 42, 44, 47, 50, 53, 56, 57, 58, 59, 60, 61, 62], "right": [1, 54, 60], "rotat": 53, "roughli": 60, "row": [1, 19, 20, 21, 23, 25, 33, 41, 44, 50, 58], "rule": [46, 60], "run": [18, 19, 36, 37, 41, 42, 44, 52, 53, 55, 56, 57, 58, 61, 62], "runtimeerror": [41, 44], "ryo": 54, "s0010465522001242": 54, "s5": [56, 58, 59, 61, 62], "saba": 60, "same": [16, 41, 44, 53, 56, 60, 61], "sampl": [1, 4, 7, 8, 9, 10, 11, 12, 14, 18, 20, 21, 26, 27, 31, 38, 41, 44, 47, 53, 54, 57, 58, 59, 62], "satisfi": [1, 60], "save": [3, 22, 23, 38, 40, 41, 42, 43, 44, 45, 50, 53, 56, 57, 58, 59, 61, 62], "save_predictor_list": [43, 44], "save_training_list": [43, 44], "savez_compress": 50, "scalabl": 54, "scale": [6, 23, 58], "scatter": 60, "school": [54, 60], "scienc": [0, 54], "sciencedirect": 54, "scientif": 54, "scikit": 54, "scipi": [34, 53, 57], "score": [1, 3, 38, 39, 41, 44, 48, 49, 53, 57, 58, 59, 60, 61, 62], "score_multi": [3, 39], "screen": 54, "search": [1, 2, 3, 19, 20, 21, 23, 25, 27, 32, 33, 35, 50, 52, 53, 54, 55], "search_config": 35, "search_result": [57, 58], "sec": 47, "second": 53, "section": [1, 53, 56, 57, 58], "see": [47, 53, 54, 57, 58, 60], "seed": [41, 57, 58, 59, 61, 62], "seen": 1, "select": [1, 50, 53, 54, 56, 57, 58, 60], "self": [6, 12, 13, 14, 16, 31, 37, 38, 41, 44, 50, 57, 58, 59, 60, 61], "send": 51, "separ": [53, 57, 58, 59], "septemb": 54, "sequenc": 42, "serial": 55, "serv": 57, "set": [1, 12, 13, 14, 16, 20, 21, 23, 27, 29, 31, 38, 41, 44, 46, 47, 50, 53, 55, 59, 61, 62], "set_bia": [11, 12, 13], "set_config": [3, 14, 20, 32, 56], "set_cov_param": [18, 21], "set_mean_param": [18, 21], "set_param": [5, 6, 11, 12, 13, 15, 16, 18, 20, 21, 22, 23, 26, 27, 28, 29, 30, 36, 37, 56], "set_reference_max": [39, 46], "set_reference_min": [39, 46], "set_se": [40, 41, 57, 58, 59, 60, 61, 62], "setup": [56, 58], "sever": [56, 58], "shape": [34, 56, 60], "should": [53, 56, 57, 58], "show": [5, 6, 23, 32, 35, 59, 60], "show_interactive_mod": [3, 39, 49], "show_search_result": [3, 39, 49, 59], "show_search_results_mo": [3, 39, 49], "show_start_message_multi_search": [3, 39, 49], "shown": 53, "sigma": 1, "sigma2": [15, 16], "sigma_c": 1, "sim": 61, "simeq": 1, "similar": [1, 56], "simu": 60, "simu_spars": 60, "simul": [1, 41, 42, 44, 49, 53, 54, 55, 62], "sinc": [57, 58, 60], "singl": [56, 60, 61], "situat": [1, 53], "size": [13, 19, 23, 27, 41, 44, 60, 62], "skip": 58, "skiprow": [56, 58, 59, 61, 62], "so": [1, 53, 57, 58], "softwar": [0, 54], "solid": [0, 54], "solut": [19, 34, 53, 57], "solv": [1, 54, 58, 60], "solve_triangular": 34, "some": [53, 57, 58], "sort": [46, 60], "sourc": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 45, 46, 47, 48, 49, 50, 53], "space": [1, 53, 55, 60], "specifi": [20, 50, 51, 53, 57, 58, 59, 60, 61], "split": [41, 44, 60], "sqrt": [1, 57, 60], "squar": 56, "stabl": [56, 58], "stage": [1, 53], "standard": [27, 33, 54, 56, 58], "star": 60, "start": [1, 56, 58, 62], "stat": [7, 8, 10, 11, 12, 25], "state": [0, 54], "statu": [31, 38], "std": [27, 56, 57], "step": [1, 41, 42, 44, 53, 57, 58, 59, 61], "step1": 1, "step2": 1, "step3": 1, "store": [41, 42, 44, 56, 62], "str": [8, 23, 35, 38, 41, 42, 44, 47, 50], "strictli": 1, "structur": [1, 52, 54, 56, 58], "sub_sampl": [18, 20], "subdirectori": [56, 59, 61, 62], "submodul": [2, 52], "subpackag": [2, 52], "subplot": 57, "subset": [20, 50], "subspac": 60, "subt": 20, "subx": 20, "suit": 53, "suitabl": 59, "sum": 60, "sum_": 60, "supp_param": [22, 23, 26, 27, 28, 29], "support": [0, 54], "suspend": 55, "symp": 60, "system": [6, 34, 51], "t": [1, 3, 8, 10, 19, 20, 23, 25, 27, 29, 34, 39, 41, 42, 44, 45, 46, 47, 48, 49, 50, 53, 56, 57, 58, 59, 61, 62], "t1": 46, "t2": 46, "t_initi": 62, "t_test": 56, "t_train": 56, "take": [1, 23, 56, 58, 60], "tamura": 54, "target": [8, 10, 56], "task": [1, 53, 54, 60], "tech": 60, "technic": [1, 54], "techniqu": [1, 54], "terayama": 54, "test": [1, 14, 21, 25, 31, 47, 48, 55, 56], "test_x": [41, 44, 57, 58, 59, 60, 61, 62], "test_x_spars": 60, "text": 1, "th": [56, 57, 58, 59, 62], "than": [23, 27, 53, 57, 58, 60], "thank": [0, 51], "them": [23, 53, 56, 60], "therefor": [1, 56, 58], "thi": [1, 14, 23, 27, 31, 38, 47, 53, 54, 56, 57, 58, 59, 60, 61, 62], "thompson": [1, 41, 44, 47, 53, 54, 57, 58], "those": [20, 21], "through": [54, 55], "thu": [61, 62], "time": [1, 41, 42, 44, 53, 54, 57, 58, 60, 61, 62], "time_get_act": [40, 41, 42, 43, 44, 45], "time_run_simul": [40, 41, 42, 43, 44, 45], "time_tot": [40, 41, 42, 43, 44, 45], "time_update_predictor": [40, 41, 42, 43, 44, 45], "titl": [54, 60], "tokyo": [0, 51, 54], "tom": 60, "tool": 54, "top": 1, "total": [20, 21, 23, 29, 41, 42, 44, 53, 57, 58, 61], "total_num_research": 42, "total_num_search": [53, 57, 58, 61], "trade": 60, "train": [1, 8, 14, 20, 31, 41, 44, 47, 55, 57, 58, 59], "training_list": [44, 48], "trans_param": [26, 27], "transform": [56, 57], "transpos": 6, "treat": 58, "triangular": 34, "true": [8, 10, 20, 21, 23, 25, 31, 35, 41, 44, 60], "try": [58, 60], "tsuda": [54, 56, 58], "tsuyoshi": 54, "tune": [31, 41, 44, 54], "tupl": [6, 8, 10, 20, 23, 27], "tuppl": [23, 25, 29], "tutori": [52, 53, 56, 57, 58, 59, 60, 61, 62], "two": [1, 53, 57, 58, 59, 60, 61], "type": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 35, 37, 41, 44, 47, 50, 53, 57, 58], "u": [1, 10, 34, 51, 53], "ub": 46, "ueno": 54, "uncertainti": 1, "under": [53, 54], "uniformli": 1, "univers": [0, 54], "unknown": 47, "up": [1, 53, 57, 58], "updat": [1, 3, 4, 6, 8, 10, 14, 17, 20, 31, 36, 37, 38, 41, 42, 44, 46, 53, 54, 60], "update_front": [39, 46], "update_stat": [4, 7, 8, 9, 10], "upper": [46, 60], "us": [1, 8, 14, 16, 19, 20, 29, 30, 31, 34, 38, 41, 44, 47, 50, 51, 53, 54, 56, 57, 58, 59, 60, 62], "usabl": [0, 54], "usag": [52, 55, 60], "user": 53, "usual": 60, "util": [3, 39, 59], "v": [36, 37], "valid": 1, "valu": [1, 6, 8, 12, 13, 14, 16, 20, 21, 23, 25, 27, 29, 31, 38, 41, 42, 44, 47, 50, 53, 54, 55, 56, 57, 58, 59, 61], "van": 60, "var": 57, "variabl": [1, 2, 3, 14, 19, 23, 27, 31, 38, 41, 44, 47, 53, 57, 59, 62], "varianc": [1, 8, 10, 12, 14, 16, 21, 31, 56, 57, 58], "variat": [41, 44], "vdot": 1, "vec": 60, "vector": [1, 13, 19, 20, 21, 23, 25, 33, 41, 44, 50, 53, 58], "veldhuizen": 60, "ver": 54, "veri": [1, 53, 54], "version": [38, 51, 54], "via": [54, 57], "vlmop2": 60, "vlmop2_minu": 60, "vmax": 60, "vmin": 60, "volum": [47, 48, 54], "volume_in_domin": [39, 46, 60], "w": [1, 6, 8, 10, 23], "w_mu": [8, 10], "wa": [57, 58], "wai": [53, 57, 58, 59], "want": [41, 44, 53, 56, 58, 59, 60], "we": [0, 1, 53, 54, 56, 57, 58, 59, 60, 62], "weight": [6, 8, 10, 12, 13, 14], "well": 53, "when": [1, 23, 27, 41, 44, 51, 53, 54, 57, 58, 60, 61], "where": [1, 6, 19, 23, 27, 53, 54, 58, 60, 62], "which": [1, 19, 41, 42, 44, 60], "while": [10, 56], "whose": 50, "width": 23, "window_num": 57, "without": [57, 58], "word": [1, 53, 54, 57, 58, 60], "world": [1, 53, 54], "would": 0, "wright": 60, "write": [40, 41, 42, 43, 44, 45, 59], "wt": 6, "www": 54, "x": [1, 6, 8, 10, 12, 13, 14, 19, 20, 21, 23, 25, 31, 33, 37, 41, 44, 50, 56, 57, 58, 59, 60, 61, 62], "x_": 56, "x_1": 60, "x_2": 60, "x_i": 60, "x_list": 57, "x_max": 57, "x_min": 57, "x_n": 60, "x_new": 56, "x_normal": 33, "x_opt": 57, "x_test": 56, "x_train": 56, "xlabel": 60, "xlim": 60, "xtest": 8, "y": [1, 60], "y1": 60, "y2": 60, "y_": 1, "y_1": 60, "y_2": 60, "y_i": [1, 60], "y_j": 60, "y_p": 60, "yahyaa": 60, "year": 54, "yet": [1, 14, 41, 44, 57, 58], "ylabel": 60, "ylim": 60, "yokohama": 54, "yoshimi": 54, "you": [41, 44, 51, 53, 56, 57, 58, 59, 60, 61, 62], "your": 51, "yourself": [41, 44], "yuichi": 54, "z": [1, 20, 21, 23, 25, 50], "z_": 1, "zero": [17, 28, 41, 44]}, "titles": ["Acknowledgement", "Algorithm", "physbo", "physbo package", "physbo.blm package", "physbo.blm.basis package", "physbo.blm.basis.fourier module", "physbo.blm.core package", "physbo.blm.core.model module", "physbo.blm.inf package", "physbo.blm.inf.exact module", "physbo.blm.lik package", "physbo.blm.lik.gauss module", "physbo.blm.lik.linear module", "physbo.blm.predictor module", "physbo.blm.prior package", "physbo.blm.prior.gauss module", "physbo.gp package", "physbo.gp.core package", "physbo.gp.core.learning module", "physbo.gp.core.model module", "physbo.gp.core.prior module", "physbo.gp.cov package", "physbo.gp.cov.gauss module", "physbo.gp.inf package", "physbo.gp.inf.exact module", "physbo.gp.lik package", "physbo.gp.lik.gauss module", "physbo.gp.mean package", "physbo.gp.mean.const module", "physbo.gp.mean.zero module", "physbo.gp.predictor module", "physbo.misc package", "physbo.misc.centering module", "physbo.misc.gauss_elim module", "physbo.misc.set_config module", "physbo.opt package", "physbo.opt.adam module", "physbo.predictor module", "physbo.search package", "physbo.search.discrete package", "physbo.search.discrete.policy module", "physbo.search.discrete.results module", "physbo.search.discrete_multi package", "physbo.search.discrete_multi.policy module", "physbo.search.discrete_multi.results module", "physbo.search.pareto module", "physbo.search.score module", "physbo.search.score_multi module", "physbo.search.utility module", "physbo.variable module", "Contact", "Welcome to PHYSBO\u2019s documentation!", "Basic usage", "Introduction", "Tutorials", "Gaussian process", "Basic usage of PHYSBO", "Basic usage of PHYSBO", "Running PHYSBO interactively", "Multi-objective optimization", "Search multiple candidates at once", "Restart calculations by reading existing calculation results"], "titleterms": {"": 52, "about": 54, "acceler": 1, "acknowledg": 0, "acquisit": 57, "action": 62, "adam": 37, "algorithm": 1, "appendix": 60, "base": 60, "basi": [5, 6], "basic": [53, 57, 58], "bayesian": [1, 57, 58, 60], "blm": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "calcul": [53, 60, 62], "candid": [56, 58, 59, 60, 61, 62], "center": 33, "check": [57, 58, 60, 61], "citat": 54, "class": 57, "const": 29, "contact": 51, "content": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43, 52, 55], "core": [7, 8, 18, 19, 20, 21], "cov": [22, 23], "data": [56, 58, 59, 60, 61, 62], "defin": [56, 57], "definit": [58, 59, 60, 61], "develop": 54, "discret": [40, 41, 42], "discrete_multi": [43, 44, 45], "document": 52, "domin": 60, "download": 53, "ehvi": 60, "evalu": [60, 62], "exact": [10, 25], "execut": [59, 62], "exist": 62, "expect": 60, "first": 60, "flow": 53, "fourier": 6, "from": 62, "full": 60, "function": [57, 60], "gauss": [12, 16, 23, 27], "gauss_elim": 34, "gaussian": 56, "get": 62, "gp": [17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], "hvpi": 60, "hyper": 60, "hypervolum": 60, "id": 62, "improv": 60, "inf": [9, 10, 24, 25], "instal": 53, "interact": 59, "introduct": [54, 57, 58], "learn": [19, 56], "licens": 54, "lik": [11, 12, 13, 26, 27], "linear": 13, "main": 54, "mean": [28, 29, 30], "misc": [32, 33, 34, 35], "model": [8, 20, 56], "modul": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], "multi": 60, "multipl": 61, "next": 62, "object": 60, "obtain": 60, "onc": 61, "opt": [36, 37], "optim": [1, 57, 58, 59, 60, 61], "packag": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43, 53], "parallel": 57, "paramet": 62, "pareto": [46, 60], "perform": [57, 58, 60, 61], "physbo": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 54, 57, 58, 59, 62], "plot": 60, "polici": [41, 44, 57, 58, 60], "precomput": 62, "predict": [56, 57], "predictor": [14, 31, 38], "prepar": [56, 58, 59, 60, 61, 62], "prior": [15, 16, 21], "probabl": 60, "process": 56, "random": [57, 58, 60], "read": 62, "region": 60, "regist": 62, "requir": 53, "restart": [59, 62], "result": [42, 45, 57, 58, 60, 61, 62], "run": 59, "sampl": 60, "score": 47, "score_multi": 48, "search": [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 56, 57, 58, 59, 60, 61, 62], "second": 60, "serial": [57, 58], "set": [57, 58, 60], "set_config": 35, "simul": [57, 58, 59, 60, 61], "solut": 60, "space": 57, "structur": 53, "submodul": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43], "subpackag": [3, 4, 17, 39], "suspend": 59, "t": 60, "test": 60, "thompson": 60, "train": 56, "tutori": 55, "uninstal": 53, "usag": [53, 57, 58], "util": 49, "valu": [60, 62], "variabl": 50, "volum": 60, "welcom": 52, "zero": 30}}) \ No newline at end of file diff --git a/manual/develop/ja/.buildinfo b/manual/develop/ja/.buildinfo index 372e63a5..08c407fa 100644 --- a/manual/develop/ja/.buildinfo +++ b/manual/develop/ja/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: dcf8aa1cae979822ae5e73de65fcaf5e +config: 2daef440e6d8711d0c21325443ca32d5 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/manual/develop/ja/_modules/index.html b/manual/develop/ja/_modules/index.html index 1816d9cc..2f96f8d6 100644 --- a/manual/develop/ja/_modules/index.html +++ b/manual/develop/ja/_modules/index.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/blm/basis/fourier.html b/manual/develop/ja/_modules/physbo/blm/basis/fourier.html index 1a6d5c34..deebed78 100644 --- a/manual/develop/ja/_modules/physbo/blm/basis/fourier.html +++ b/manual/develop/ja/_modules/physbo/blm/basis/fourier.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/blm/core/model.html b/manual/develop/ja/_modules/physbo/blm/core/model.html index fc945b76..afca9f03 100644 --- a/manual/develop/ja/_modules/physbo/blm/core/model.html +++ b/manual/develop/ja/_modules/physbo/blm/core/model.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/blm/inf/exact.html b/manual/develop/ja/_modules/physbo/blm/inf/exact.html index 26a17980..f9384528 100644 --- a/manual/develop/ja/_modules/physbo/blm/inf/exact.html +++ b/manual/develop/ja/_modules/physbo/blm/inf/exact.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/blm/lik/gauss.html b/manual/develop/ja/_modules/physbo/blm/lik/gauss.html index d5b1f68a..b718b73f 100644 --- a/manual/develop/ja/_modules/physbo/blm/lik/gauss.html +++ b/manual/develop/ja/_modules/physbo/blm/lik/gauss.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/blm/lik/linear.html b/manual/develop/ja/_modules/physbo/blm/lik/linear.html index 4bdbad97..7f6a0adb 100644 --- a/manual/develop/ja/_modules/physbo/blm/lik/linear.html +++ b/manual/develop/ja/_modules/physbo/blm/lik/linear.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/blm/predictor.html b/manual/develop/ja/_modules/physbo/blm/predictor.html index 1839e17c..33582702 100644 --- a/manual/develop/ja/_modules/physbo/blm/predictor.html +++ b/manual/develop/ja/_modules/physbo/blm/predictor.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/blm/prior/gauss.html b/manual/develop/ja/_modules/physbo/blm/prior/gauss.html index 518daaa6..ec0cbbc1 100644 --- a/manual/develop/ja/_modules/physbo/blm/prior/gauss.html +++ b/manual/develop/ja/_modules/physbo/blm/prior/gauss.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/gp/core/learning.html b/manual/develop/ja/_modules/physbo/gp/core/learning.html index 7d984fd9..9fcbd3e2 100644 --- a/manual/develop/ja/_modules/physbo/gp/core/learning.html +++ b/manual/develop/ja/_modules/physbo/gp/core/learning.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/gp/core/model.html b/manual/develop/ja/_modules/physbo/gp/core/model.html index 0395b2dd..b881088e 100644 --- a/manual/develop/ja/_modules/physbo/gp/core/model.html +++ b/manual/develop/ja/_modules/physbo/gp/core/model.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/gp/core/prior.html b/manual/develop/ja/_modules/physbo/gp/core/prior.html index 75761823..495ff2da 100644 --- a/manual/develop/ja/_modules/physbo/gp/core/prior.html +++ b/manual/develop/ja/_modules/physbo/gp/core/prior.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/gp/cov/gauss.html b/manual/develop/ja/_modules/physbo/gp/cov/gauss.html index e2d84680..0b4f2d1e 100644 --- a/manual/develop/ja/_modules/physbo/gp/cov/gauss.html +++ b/manual/develop/ja/_modules/physbo/gp/cov/gauss.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/gp/inf/exact.html b/manual/develop/ja/_modules/physbo/gp/inf/exact.html index dfbaddf2..8cd296a5 100644 --- a/manual/develop/ja/_modules/physbo/gp/inf/exact.html +++ b/manual/develop/ja/_modules/physbo/gp/inf/exact.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/gp/lik/gauss.html b/manual/develop/ja/_modules/physbo/gp/lik/gauss.html index 00d74980..c50fc34c 100644 --- a/manual/develop/ja/_modules/physbo/gp/lik/gauss.html +++ b/manual/develop/ja/_modules/physbo/gp/lik/gauss.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/gp/mean/const.html b/manual/develop/ja/_modules/physbo/gp/mean/const.html index 148c47ec..77d38dc5 100644 --- a/manual/develop/ja/_modules/physbo/gp/mean/const.html +++ b/manual/develop/ja/_modules/physbo/gp/mean/const.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/gp/mean/zero.html b/manual/develop/ja/_modules/physbo/gp/mean/zero.html index b00d93cd..121d0e71 100644 --- a/manual/develop/ja/_modules/physbo/gp/mean/zero.html +++ b/manual/develop/ja/_modules/physbo/gp/mean/zero.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/gp/predictor.html b/manual/develop/ja/_modules/physbo/gp/predictor.html index f28446b7..1abf50e0 100644 --- a/manual/develop/ja/_modules/physbo/gp/predictor.html +++ b/manual/develop/ja/_modules/physbo/gp/predictor.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/misc/centering.html b/manual/develop/ja/_modules/physbo/misc/centering.html index 48d27431..45974c63 100644 --- a/manual/develop/ja/_modules/physbo/misc/centering.html +++ b/manual/develop/ja/_modules/physbo/misc/centering.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/misc/gauss_elim.html b/manual/develop/ja/_modules/physbo/misc/gauss_elim.html index 28c45b1a..c0a1e665 100644 --- a/manual/develop/ja/_modules/physbo/misc/gauss_elim.html +++ b/manual/develop/ja/_modules/physbo/misc/gauss_elim.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/misc/set_config.html b/manual/develop/ja/_modules/physbo/misc/set_config.html index d9883a68..77a1b021 100644 --- a/manual/develop/ja/_modules/physbo/misc/set_config.html +++ b/manual/develop/ja/_modules/physbo/misc/set_config.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/opt/adam.html b/manual/develop/ja/_modules/physbo/opt/adam.html index c97d0512..73c85b14 100644 --- a/manual/develop/ja/_modules/physbo/opt/adam.html +++ b/manual/develop/ja/_modules/physbo/opt/adam.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/predictor.html b/manual/develop/ja/_modules/physbo/predictor.html index b2ac5c5a..80d97c5e 100644 --- a/manual/develop/ja/_modules/physbo/predictor.html +++ b/manual/develop/ja/_modules/physbo/predictor.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/search/discrete/policy.html b/manual/develop/ja/_modules/physbo/search/discrete/policy.html index f3287a8e..8683473b 100644 --- a/manual/develop/ja/_modules/physbo/search/discrete/policy.html +++ b/manual/develop/ja/_modules/physbo/search/discrete/policy.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/search/discrete/results.html b/manual/develop/ja/_modules/physbo/search/discrete/results.html index fdd2ca0c..16722c1e 100644 --- a/manual/develop/ja/_modules/physbo/search/discrete/results.html +++ b/manual/develop/ja/_modules/physbo/search/discrete/results.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/search/discrete_multi/policy.html b/manual/develop/ja/_modules/physbo/search/discrete_multi/policy.html index 730d3170..2a58616d 100644 --- a/manual/develop/ja/_modules/physbo/search/discrete_multi/policy.html +++ b/manual/develop/ja/_modules/physbo/search/discrete_multi/policy.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/search/discrete_multi/results.html b/manual/develop/ja/_modules/physbo/search/discrete_multi/results.html index ee50dd0e..9fd094bb 100644 --- a/manual/develop/ja/_modules/physbo/search/discrete_multi/results.html +++ b/manual/develop/ja/_modules/physbo/search/discrete_multi/results.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/search/pareto.html b/manual/develop/ja/_modules/physbo/search/pareto.html index 25a4b7df..644363e1 100644 --- a/manual/develop/ja/_modules/physbo/search/pareto.html +++ b/manual/develop/ja/_modules/physbo/search/pareto.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/search/score.html b/manual/develop/ja/_modules/physbo/search/score.html index caae9101..2f211db8 100644 --- a/manual/develop/ja/_modules/physbo/search/score.html +++ b/manual/develop/ja/_modules/physbo/search/score.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/search/score_multi.html b/manual/develop/ja/_modules/physbo/search/score_multi.html index c2b26566..bc077d6c 100644 --- a/manual/develop/ja/_modules/physbo/search/score_multi.html +++ b/manual/develop/ja/_modules/physbo/search/score_multi.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/search/utility.html b/manual/develop/ja/_modules/physbo/search/utility.html index 8eda89ee..a9569049 100644 --- a/manual/develop/ja/_modules/physbo/search/utility.html +++ b/manual/develop/ja/_modules/physbo/search/utility.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_modules/physbo/variable.html b/manual/develop/ja/_modules/physbo/variable.html index a488dcf4..485b3835 100644 --- a/manual/develop/ja/_modules/physbo/variable.html +++ b/manual/develop/ja/_modules/physbo/variable.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/_static/basic.css b/manual/develop/ja/_static/basic.css index 30fee9d0..f316efcb 100644 --- a/manual/develop/ja/_static/basic.css +++ b/manual/develop/ja/_static/basic.css @@ -4,7 +4,7 @@ * * Sphinx stylesheet -- basic theme. * - * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ diff --git a/manual/develop/ja/_static/doctools.js b/manual/develop/ja/_static/doctools.js index d06a71d7..4d67807d 100644 --- a/manual/develop/ja/_static/doctools.js +++ b/manual/develop/ja/_static/doctools.js @@ -4,7 +4,7 @@ * * Base JavaScript utilities for all Sphinx HTML documentation. * - * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ diff --git a/manual/develop/ja/_static/language_data.js b/manual/develop/ja/_static/language_data.js index b3681270..89083d9e 100644 --- a/manual/develop/ja/_static/language_data.js +++ b/manual/develop/ja/_static/language_data.js @@ -5,7 +5,7 @@ * This script contains the language-specific data used by searchtools.js, * namely the list of stopwords, stemmer, scorer and splitter. * - * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -13,7 +13,7 @@ var stopwords = []; -/* Non-minified version is copied as a separate JS file, is available */ +/* Non-minified version is copied as a separate JS file, if available */ /** * Dummy stemmer for languages without stemming rules. diff --git a/manual/develop/ja/_static/searchtools.js b/manual/develop/ja/_static/searchtools.js index 7918c3fa..92da3f8b 100644 --- a/manual/develop/ja/_static/searchtools.js +++ b/manual/develop/ja/_static/searchtools.js @@ -4,7 +4,7 @@ * * Sphinx JavaScript utilities for the full-text search. * - * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -99,7 +99,7 @@ const _displayItem = (item, searchTerms, highlightTerms) => { .then((data) => { if (data) listItem.appendChild( - Search.makeSearchSummary(data, searchTerms) + Search.makeSearchSummary(data, searchTerms, anchor) ); // highlight search terms in the summary if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js @@ -116,8 +116,8 @@ const _finishSearch = (resultCount) => { ); else Search.status.innerText = _( - `Search finished, found ${resultCount} page(s) matching the search query.` - ); + "Search finished, found ${resultCount} page(s) matching the search query." + ).replace('${resultCount}', resultCount); }; const _displayNextItem = ( results, @@ -137,6 +137,22 @@ const _displayNextItem = ( // search finished, update title and status message else _finishSearch(resultCount); }; +// Helper function used by query() to order search results. +// Each input is an array of [docname, title, anchor, descr, score, filename]. +// Order the results by score (in opposite order of appearance, since the +// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically. +const _orderResultsByScoreThenName = (a, b) => { + const leftScore = a[4]; + const rightScore = b[4]; + if (leftScore === rightScore) { + // same score: sort alphabetically + const leftTitle = a[1].toLowerCase(); + const rightTitle = b[1].toLowerCase(); + if (leftTitle === rightTitle) return 0; + return leftTitle > rightTitle ? -1 : 1; // inverted is intentional + } + return leftScore > rightScore ? 1 : -1; +}; /** * Default splitQuery function. Can be overridden in ``sphinx.search`` with a @@ -160,13 +176,26 @@ const Search = { _queued_query: null, _pulse_status: -1, - htmlToText: (htmlString) => { + htmlToText: (htmlString, anchor) => { const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html'); - htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() }); + for (const removalQuery of [".headerlinks", "script", "style"]) { + htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() }); + } + if (anchor) { + const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`); + if (anchorContent) return anchorContent.textContent; + + console.warn( + `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.` + ); + } + + // if anchor not specified or not found, fall back to main content const docContent = htmlElement.querySelector('[role="main"]'); - if (docContent !== undefined) return docContent.textContent; + if (docContent) return docContent.textContent; + console.warn( - "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template." + "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template." ); return ""; }, @@ -239,16 +268,7 @@ const Search = { else Search.deferQuery(query); }, - /** - * execute search (requires search index to be loaded) - */ - query: (query) => { - const filenames = Search._index.filenames; - const docNames = Search._index.docnames; - const titles = Search._index.titles; - const allTitles = Search._index.alltitles; - const indexEntries = Search._index.indexentries; - + _parseQuery: (query) => { // stem the search terms and add them to the correct list const stemmer = new Stemmer(); const searchTerms = new Set(); @@ -284,16 +304,32 @@ const Search = { // console.info("required: ", [...searchTerms]); // console.info("excluded: ", [...excludedTerms]); - // array of [docname, title, anchor, descr, score, filename] - let results = []; + return [query, searchTerms, excludedTerms, highlightTerms, objectTerms]; + }, + + /** + * execute search (requires search index to be loaded) + */ + _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + const allTitles = Search._index.alltitles; + const indexEntries = Search._index.indexentries; + + // Collect multiple result groups to be sorted separately and then ordered. + // Each is an array of [docname, title, anchor, descr, score, filename]. + const normalResults = []; + const nonMainIndexResults = []; + _removeChildren(document.getElementById("search-progress")); - const queryLower = query.toLowerCase(); + const queryLower = query.toLowerCase().trim(); for (const [title, foundTitles] of Object.entries(allTitles)) { - if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) { + if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) { for (const [file, id] of foundTitles) { let score = Math.round(100 * queryLower.length / title.length) - results.push([ + normalResults.push([ docNames[file], titles[file] !== title ? `${titles[file]} > ${title}` : title, id !== null ? "#" + id : "", @@ -308,46 +344,47 @@ const Search = { // search for explicit entries in index directives for (const [entry, foundEntries] of Object.entries(indexEntries)) { if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) { - for (const [file, id] of foundEntries) { - let score = Math.round(100 * queryLower.length / entry.length) - results.push([ + for (const [file, id, isMain] of foundEntries) { + const score = Math.round(100 * queryLower.length / entry.length); + const result = [ docNames[file], titles[file], id ? "#" + id : "", null, score, filenames[file], - ]); + ]; + if (isMain) { + normalResults.push(result); + } else { + nonMainIndexResults.push(result); + } } } } // lookup as object objectTerms.forEach((term) => - results.push(...Search.performObjectSearch(term, objectTerms)) + normalResults.push(...Search.performObjectSearch(term, objectTerms)) ); // lookup as search terms in fulltext - results.push(...Search.performTermsSearch(searchTerms, excludedTerms)); + normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms)); // let the scorer override scores with a custom scoring function - if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item))); - - // now sort the results by score (in opposite order of appearance, since the - // display function below uses pop() to retrieve items) and then - // alphabetically - results.sort((a, b) => { - const leftScore = a[4]; - const rightScore = b[4]; - if (leftScore === rightScore) { - // same score: sort alphabetically - const leftTitle = a[1].toLowerCase(); - const rightTitle = b[1].toLowerCase(); - if (leftTitle === rightTitle) return 0; - return leftTitle > rightTitle ? -1 : 1; // inverted is intentional - } - return leftScore > rightScore ? 1 : -1; - }); + if (Scorer.score) { + normalResults.forEach((item) => (item[4] = Scorer.score(item))); + nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item))); + } + + // Sort each group of results by score and then alphabetically by name. + normalResults.sort(_orderResultsByScoreThenName); + nonMainIndexResults.sort(_orderResultsByScoreThenName); + + // Combine the result groups in (reverse) order. + // Non-main index entries are typically arbitrary cross-references, + // so display them after other results. + let results = [...nonMainIndexResults, ...normalResults]; // remove duplicate search results // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept @@ -361,7 +398,12 @@ const Search = { return acc; }, []); - results = results.reverse(); + return results.reverse(); + }, + + query: (query) => { + const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query); + const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms); // for debugging //Search.lastresults = results.slice(); // a copy @@ -466,14 +508,18 @@ const Search = { // add support for partial matches if (word.length > 2) { const escapedWord = _escapeRegExp(word); - Object.keys(terms).forEach((term) => { - if (term.match(escapedWord) && !terms[word]) - arr.push({ files: terms[term], score: Scorer.partialTerm }); - }); - Object.keys(titleTerms).forEach((term) => { - if (term.match(escapedWord) && !titleTerms[word]) - arr.push({ files: titleTerms[word], score: Scorer.partialTitle }); - }); + if (!terms.hasOwnProperty(word)) { + Object.keys(terms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: terms[term], score: Scorer.partialTerm }); + }); + } + if (!titleTerms.hasOwnProperty(word)) { + Object.keys(titleTerms).forEach((term) => { + if (term.match(escapedWord)) + arr.push({ files: titleTerms[term], score: Scorer.partialTitle }); + }); + } } // no match but word was a required one @@ -496,9 +542,8 @@ const Search = { // create the mapping files.forEach((file) => { - if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1) - fileMap.get(file).push(word); - else fileMap.set(file, [word]); + if (!fileMap.has(file)) fileMap.set(file, [word]); + else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word); }); }); @@ -549,8 +594,8 @@ const Search = { * search summary for a given text. keywords is a list * of stemmed words. */ - makeSearchSummary: (htmlText, keywords) => { - const text = Search.htmlToText(htmlText); + makeSearchSummary: (htmlText, keywords, anchor) => { + const text = Search.htmlToText(htmlText, anchor); if (text === "") return null; const textLower = text.toLowerCase(); diff --git a/manual/develop/ja/acknowledgement.html b/manual/develop/ja/acknowledgement.html index e14a7dba..a872e8f4 100644 --- a/manual/develop/ja/acknowledgement.html +++ b/manual/develop/ja/acknowledgement.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/algorithm.html b/manual/develop/ja/algorithm.html index 59c8537d..ed532af1 100644 --- a/manual/develop/ja/algorithm.html +++ b/manual/develop/ja/algorithm.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/modules.html b/manual/develop/ja/api/modules.html index 599329b0..997d747a 100644 --- a/manual/develop/ja/api/modules.html +++ b/manual/develop/ja/api/modules.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.basis.fourier.html b/manual/develop/ja/api/physbo.blm.basis.fourier.html index 6fc7804b..5adfb657 100644 --- a/manual/develop/ja/api/physbo.blm.basis.fourier.html +++ b/manual/develop/ja/api/physbo.blm.basis.fourier.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.basis.html b/manual/develop/ja/api/physbo.blm.basis.html index e2443c57..b8296d56 100644 --- a/manual/develop/ja/api/physbo.blm.basis.html +++ b/manual/develop/ja/api/physbo.blm.basis.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.core.html b/manual/develop/ja/api/physbo.blm.core.html index a0e2f69a..b1962b17 100644 --- a/manual/develop/ja/api/physbo.blm.core.html +++ b/manual/develop/ja/api/physbo.blm.core.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.core.model.html b/manual/develop/ja/api/physbo.blm.core.model.html index 8e0fe355..681fcdd8 100644 --- a/manual/develop/ja/api/physbo.blm.core.model.html +++ b/manual/develop/ja/api/physbo.blm.core.model.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.html b/manual/develop/ja/api/physbo.blm.html index 5f68a197..4dfeace4 100644 --- a/manual/develop/ja/api/physbo.blm.html +++ b/manual/develop/ja/api/physbo.blm.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.inf.exact.html b/manual/develop/ja/api/physbo.blm.inf.exact.html index e54c131a..1c5575f9 100644 --- a/manual/develop/ja/api/physbo.blm.inf.exact.html +++ b/manual/develop/ja/api/physbo.blm.inf.exact.html @@ -16,7 +16,7 @@ - + @@ -113,7 +113,7 @@
パラメータ:
    -

  • blm (physbo.blm.core.model) --

    • +

  • blm (physbo.blm.core.model)

  • X (numpy.ndarray) -- inputs

  • Psi (numpy.ndarray) -- feature maps (default: blm.lik.linear.basis.get_basis(X))

    • @@ -134,7 +134,7 @@
    パラメータ:
      -

    • blm (physbo.blm.core.model) --

      • +

    • blm (physbo.blm.core.model)

    • X (numpy.ndarray) -- inputs

    • Psi (numpy.ndarray) -- feature maps (default: blm.lik.linear.basis.get_basis(X))

      • @@ -154,7 +154,7 @@

      calculates mean of weight

      パラメータ:
      -

      blm (physbo.blm.core.model) --

      +

      blm (physbo.blm.core.model)

      戻り値の型:

      numpy.ndarray

      diff --git a/manual/develop/ja/api/physbo.blm.inf.html b/manual/develop/ja/api/physbo.blm.inf.html index f125f33a..df009e9f 100644 --- a/manual/develop/ja/api/physbo.blm.inf.html +++ b/manual/develop/ja/api/physbo.blm.inf.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.lik.gauss.html b/manual/develop/ja/api/physbo.blm.lik.gauss.html index b1770765..dc3f40aa 100644 --- a/manual/develop/ja/api/physbo.blm.lik.gauss.html +++ b/manual/develop/ja/api/physbo.blm.lik.gauss.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.lik.html b/manual/develop/ja/api/physbo.blm.lik.html index b02c211f..70cdcb8b 100644 --- a/manual/develop/ja/api/physbo.blm.lik.html +++ b/manual/develop/ja/api/physbo.blm.lik.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.lik.linear.html b/manual/develop/ja/api/physbo.blm.lik.linear.html index 32253fbe..2fdc60e9 100644 --- a/manual/develop/ja/api/physbo.blm.lik.linear.html +++ b/manual/develop/ja/api/physbo.blm.lik.linear.html @@ -16,7 +16,7 @@ - + @@ -173,7 +173,7 @@

      set bias

      パラメータ:
      -

      bias (float) --

      +

      bias (float)

      @@ -184,7 +184,7 @@

      set parameters

      パラメータ:
      -

      params (np.ndarray) --

      +

      params (np.ndarray)

    diff --git a/manual/develop/ja/api/physbo.blm.predictor.html b/manual/develop/ja/api/physbo.blm.predictor.html index d8bbc12b..68f77cb9 100644 --- a/manual/develop/ja/api/physbo.blm.predictor.html +++ b/manual/develop/ja/api/physbo.blm.predictor.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.prior.gauss.html b/manual/develop/ja/api/physbo.blm.prior.gauss.html index 564605b7..f303a1aa 100644 --- a/manual/develop/ja/api/physbo.blm.prior.gauss.html +++ b/manual/develop/ja/api/physbo.blm.prior.gauss.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.blm.prior.html b/manual/develop/ja/api/physbo.blm.prior.html index ab113aba..612668ad 100644 --- a/manual/develop/ja/api/physbo.blm.prior.html +++ b/manual/develop/ja/api/physbo.blm.prior.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.gp.core.html b/manual/develop/ja/api/physbo.gp.core.html index 5b7ee855..42eab648 100644 --- a/manual/develop/ja/api/physbo.gp.core.html +++ b/manual/develop/ja/api/physbo.gp.core.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.gp.core.learning.html b/manual/develop/ja/api/physbo.gp.core.learning.html index d1a5179b..a0f9ff7c 100644 --- a/manual/develop/ja/api/physbo.gp.core.learning.html +++ b/manual/develop/ja/api/physbo.gp.core.learning.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.gp.core.model.html b/manual/develop/ja/api/physbo.gp.core.model.html index aeb35563..c7814661 100644 --- a/manual/develop/ja/api/physbo.gp.core.model.html +++ b/manual/develop/ja/api/physbo.gp.core.model.html @@ -16,7 +16,7 @@ - + @@ -196,7 +196,7 @@

  • X (numpy.ndarray) -- N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

  • t (numpy.ndarray) -- N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

    • -

  • config (physbo.misc.set_config object) --

    • +

  • config (physbo.misc.set_config object)

diff --git a/manual/develop/ja/api/physbo.gp.core.prior.html b/manual/develop/ja/api/physbo.gp.core.prior.html index 8f33f6fa..92eecd4b 100644 --- a/manual/develop/ja/api/physbo.gp.core.prior.html +++ b/manual/develop/ja/api/physbo.gp.core.prior.html @@ -16,7 +16,7 @@ - + @@ -223,7 +223,7 @@
パラメータ:
戻り値の型:
diff --git a/manual/develop/ja/api/physbo.gp.cov.gauss.html b/manual/develop/ja/api/physbo.gp.cov.gauss.html index 10007d28..25e039b8 100644 --- a/manual/develop/ja/api/physbo.gp.cov.gauss.html +++ b/manual/develop/ja/api/physbo.gp.cov.gauss.html @@ -16,7 +16,7 @@ - + @@ -119,8 +119,8 @@
パラメータ:
    -

  • width (int) --

    • -

  • scale (int) --

    • +

  • width (int)

    • +

  • scale (int)

戻り値:
@@ -202,7 +202,7 @@
パラメータ:

  • X (numpy.ndarray) -- N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

    • -

  • params (numpy.ndarray) --

    • +

  • params (numpy.ndarray)

戻り値:
diff --git a/manual/develop/ja/api/physbo.gp.cov.html b/manual/develop/ja/api/physbo.gp.cov.html index e14c81fc..5cb4c823 100644 --- a/manual/develop/ja/api/physbo.gp.cov.html +++ b/manual/develop/ja/api/physbo.gp.cov.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.gp.html b/manual/develop/ja/api/physbo.gp.html index ce0e9f80..4ba3a941 100644 --- a/manual/develop/ja/api/physbo.gp.html +++ b/manual/develop/ja/api/physbo.gp.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.gp.inf.exact.html b/manual/develop/ja/api/physbo.gp.inf.exact.html index ec41c3b1..c5a90a88 100644 --- a/manual/develop/ja/api/physbo.gp.inf.exact.html +++ b/manual/develop/ja/api/physbo.gp.inf.exact.html @@ -16,7 +16,7 @@ - + @@ -113,7 +113,7 @@
パラメータ:
    -

  • gp (physbo.gp.core.model) --

    • +

  • gp (physbo.gp.core.model)

  • X (numpy.ndarray) -- N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

  • t (numpy.ndarray) -- N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

    • @@ -136,7 +136,7 @@
    パラメータ:
      -

    • gp (physbo.gp.core.model) --

      • +

    • gp (physbo.gp.core.model)

    • X (numpy.ndarray) -- N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

    • t (numpy.ndarray) -- N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

      • @@ -159,7 +159,7 @@
      パラメータ:
        -

      • gp (physbo.gp.core.model) --

        • +

      • gp (physbo.gp.core.model)

      • X (numpy.ndarray) -- N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

      • Z (numpy.ndarray) -- N x d dimensional matrix. Each row of Z denotes the d-dimensional feature vector of tests.

      • params (numpy.ndarray) -- Parameters.

        • @@ -179,7 +179,7 @@
        パラメータ:
          -

        • gp (physbo.gp.core.model) --

          • +

        • gp (physbo.gp.core.model)

        • X (numpy.ndarray) -- N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

        • Z (numpy.ndarray) -- N x d dimensional matrix. Each row of Z denotes the d-dimensional feature vector of tests.

        • params (numpy.ndarray) -- Parameters.

          • @@ -197,7 +197,7 @@
          パラメータ:
            -

          • gp (physbo.gp.core.model) --

            • +

          • gp (physbo.gp.core.model)

          • X (numpy.ndarray) -- N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of search candidate.

          • t (numpy.ndarray) -- N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

            • diff --git a/manual/develop/ja/api/physbo.gp.inf.html b/manual/develop/ja/api/physbo.gp.inf.html index b5aa15c8..6a5f2b52 100644 --- a/manual/develop/ja/api/physbo.gp.inf.html +++ b/manual/develop/ja/api/physbo.gp.inf.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.gp.lik.gauss.html b/manual/develop/ja/api/physbo.gp.lik.gauss.html index 3dd56215..eac9f27c 100644 --- a/manual/develop/ja/api/physbo.gp.lik.gauss.html +++ b/manual/develop/ja/api/physbo.gp.lik.gauss.html @@ -16,7 +16,7 @@ - + @@ -135,7 +135,7 @@
            パラメータ:
              -

            • num_data (int) --

              • +

            • num_data (int)

            • params (numpy.ndarray) -- Parameters for optimization. Array of real elements of size (n,), where ‘n’ is the number of independent variables.

            @@ -156,7 +156,7 @@
            パラメータ:
              -

            • num_data (int) --

              • +

            • num_data (int)

            • params (numpy.ndarray) -- Parameters for optimization. Array of real elements of size (n,), where ‘n’ is the number of independent variables.

            @@ -190,7 +190,7 @@

            Sampling by adding noise

            パラメータ:
            -

            fmean (numpy.ndarray) --

            +

            fmean (numpy.ndarray)

            diff --git a/manual/develop/ja/api/physbo.gp.lik.html b/manual/develop/ja/api/physbo.gp.lik.html index 2b3292f4..d32dc1f0 100644 --- a/manual/develop/ja/api/physbo.gp.lik.html +++ b/manual/develop/ja/api/physbo.gp.lik.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.gp.mean.const.html b/manual/develop/ja/api/physbo.gp.mean.const.html index 995471d1..e14bf4e4 100644 --- a/manual/develop/ja/api/physbo.gp.mean.const.html +++ b/manual/develop/ja/api/physbo.gp.mean.const.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.gp.mean.html b/manual/develop/ja/api/physbo.gp.mean.html index 9625d4c0..b02e03a6 100644 --- a/manual/develop/ja/api/physbo.gp.mean.html +++ b/manual/develop/ja/api/physbo.gp.mean.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.gp.mean.zero.html b/manual/develop/ja/api/physbo.gp.mean.zero.html index 669bcf2e..5d2133c4 100644 --- a/manual/develop/ja/api/physbo.gp.mean.zero.html +++ b/manual/develop/ja/api/physbo.gp.mean.zero.html @@ -16,7 +16,7 @@ - + @@ -150,7 +150,7 @@

            Not defined

            パラメータ:
            -

            params --

            +

            params

            diff --git a/manual/develop/ja/api/physbo.gp.predictor.html b/manual/develop/ja/api/physbo.gp.predictor.html index 15efc0ae..5d83d266 100644 --- a/manual/develop/ja/api/physbo.gp.predictor.html +++ b/manual/develop/ja/api/physbo.gp.predictor.html @@ -16,7 +16,7 @@ - + @@ -117,8 +117,8 @@
            パラメータ:
              -

            • args --

              • -

            • kwds --

              • +

            • args

              • +

            • kwds

            @@ -144,8 +144,8 @@
            パラメータ:
              -

            • args --

              • -

            • kwds --

              • +

            • args

              • +

            • kwds

            @@ -192,8 +192,8 @@
            パラメータ:
              -

            • args --

              • -

            • kwds --

              • +

            • args

              • +

            • kwds

            @@ -255,8 +255,8 @@
            パラメータ:
              -

            • args --

              • -

            • kwds --

              • +

            • args

              • +

            • kwds

            diff --git a/manual/develop/ja/api/physbo.html b/manual/develop/ja/api/physbo.html index 5f7a9b23..2c29dff9 100644 --- a/manual/develop/ja/api/physbo.html +++ b/manual/develop/ja/api/physbo.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.misc.centering.html b/manual/develop/ja/api/physbo.misc.centering.html index d3135171..0c1d4d36 100644 --- a/manual/develop/ja/api/physbo.misc.centering.html +++ b/manual/develop/ja/api/physbo.misc.centering.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.misc.gauss_elim.html b/manual/develop/ja/api/physbo.misc.gauss_elim.html index ad1b928f..3ed7fb68 100644 --- a/manual/develop/ja/api/physbo.misc.gauss_elim.html +++ b/manual/develop/ja/api/physbo.misc.gauss_elim.html @@ -16,7 +16,7 @@ - + @@ -112,9 +112,9 @@
            パラメータ:
              -

            • U ((M, M) array_like) --

              • -

            • matrix (A triangular) --

              • -

            • t ((M,) or (M, N) array_like) --

              • +

            • U ((M, M) array_like)

              • +

            • matrix (A triangular)

              • +

            • t ((M,) or (M, N) array_like)

            戻り値:
            diff --git a/manual/develop/ja/api/physbo.misc.html b/manual/develop/ja/api/physbo.misc.html index 7b96e59a..8f813ff8 100644 --- a/manual/develop/ja/api/physbo.misc.html +++ b/manual/develop/ja/api/physbo.misc.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.misc.set_config.html b/manual/develop/ja/api/physbo.misc.set_config.html index 7dd31d3d..6be1f634 100644 --- a/manual/develop/ja/api/physbo.misc.set_config.html +++ b/manual/develop/ja/api/physbo.misc.set_config.html @@ -16,7 +16,7 @@ - + @@ -114,7 +114,7 @@

            Loading information of configuration from config._sectoins['adam'].

            パラメータ:
            -

            config (physbo.misc.set_config object) --

            +

            config (physbo.misc.set_config object)

            @@ -137,7 +137,7 @@

            Loading information of configuration from config._sectoins['batch'].

            パラメータ:
            -

            config (physbo.misc.set_config object) --

            +

            config (physbo.misc.set_config object)

          @@ -156,7 +156,7 @@

          Return boolean.

          パラメータ:
          -

          str (str or boolean) --

          +

          str (str or boolean)

          戻り値の型:

          True or False

          @@ -174,7 +174,7 @@

          Loading information of configuration from config._sectoins['learning'].

          パラメータ:
          -

          config (physbo.misc.set_config object) --

          +

          config (physbo.misc.set_config object)

          @@ -197,7 +197,7 @@

          Loading information of configuration from config._sectoins['online'].

          パラメータ:
          -

          config (physbo.misc.set_config object) --

          +

          config (physbo.misc.set_config object)

        @@ -220,7 +220,7 @@

        Loading information of configuration from config._sectoins['search'].

        パラメータ:
        -

        config (physbo.misc.set_config object) --

        +

        config (physbo.misc.set_config object)

      @@ -244,8 +244,8 @@
      パラメータ:
        -

      • file_name (str) --

        • -

      • configuration. (An input file name of) --

        • +

      • file_name (str)

        • +

      • configuration. (An input file name of)

      diff --git a/manual/develop/ja/api/physbo.opt.adam.html b/manual/develop/ja/api/physbo.opt.adam.html index aa745340..9065589d 100644 --- a/manual/develop/ja/api/physbo.opt.adam.html +++ b/manual/develop/ja/api/physbo.opt.adam.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.opt.html b/manual/develop/ja/api/physbo.opt.html index 45f9508c..89189744 100644 --- a/manual/develop/ja/api/physbo.opt.html +++ b/manual/develop/ja/api/physbo.opt.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.predictor.html b/manual/develop/ja/api/physbo.predictor.html index 1cbe4a5b..dd96b491 100644 --- a/manual/develop/ja/api/physbo.predictor.html +++ b/manual/develop/ja/api/physbo.predictor.html @@ -16,7 +16,7 @@ - + @@ -112,8 +112,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -127,8 +127,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -142,8 +142,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -157,8 +157,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -172,8 +172,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -187,8 +187,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -202,8 +202,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -217,8 +217,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -232,8 +232,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -259,8 +259,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      @@ -286,8 +286,8 @@
      パラメータ:
        -

      • args --

        • -

      • kwds --

        • +

      • args

        • +

      • kwds

      diff --git a/manual/develop/ja/api/physbo.search.discrete.html b/manual/develop/ja/api/physbo.search.discrete.html index f7a050a7..fdb6ca07 100644 --- a/manual/develop/ja/api/physbo.search.discrete.html +++ b/manual/develop/ja/api/physbo.search.discrete.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.search.discrete.policy.html b/manual/develop/ja/api/physbo.search.discrete.policy.html index 67e8e170..6480e0bd 100644 --- a/manual/develop/ja/api/physbo.search.discrete.policy.html +++ b/manual/develop/ja/api/physbo.search.discrete.policy.html @@ -16,7 +16,7 @@ - + @@ -269,7 +269,7 @@
      パラメータ:

      • seed (int) -- seed number

        • -

      • ------- --

        • +

      • -------

    diff --git a/manual/develop/ja/api/physbo.search.discrete.results.html b/manual/develop/ja/api/physbo.search.discrete.results.html index 2e74bac3..25e5e5ef 100644 --- a/manual/develop/ja/api/physbo.search.discrete.results.html +++ b/manual/develop/ja/api/physbo.search.discrete.results.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.search.discrete_multi.html b/manual/develop/ja/api/physbo.search.discrete_multi.html index d4bd423a..d10a0a3d 100644 --- a/manual/develop/ja/api/physbo.search.discrete_multi.html +++ b/manual/develop/ja/api/physbo.search.discrete_multi.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.search.discrete_multi.policy.html b/manual/develop/ja/api/physbo.search.discrete_multi.policy.html index e63434f6..64ebf4aa 100644 --- a/manual/develop/ja/api/physbo.search.discrete_multi.policy.html +++ b/manual/develop/ja/api/physbo.search.discrete_multi.policy.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.search.discrete_multi.results.html b/manual/develop/ja/api/physbo.search.discrete_multi.results.html index 3a5ffa0f..5a1ca16c 100644 --- a/manual/develop/ja/api/physbo.search.discrete_multi.results.html +++ b/manual/develop/ja/api/physbo.search.discrete_multi.results.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.search.html b/manual/develop/ja/api/physbo.search.html index 3e46c0d6..10a162b0 100644 --- a/manual/develop/ja/api/physbo.search.html +++ b/manual/develop/ja/api/physbo.search.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.search.pareto.html b/manual/develop/ja/api/physbo.search.pareto.html index f7f99808..ed65debc 100644 --- a/manual/develop/ja/api/physbo.search.pareto.html +++ b/manual/develop/ja/api/physbo.search.pareto.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.search.score.html b/manual/develop/ja/api/physbo.search.score.html index 529a04a6..58d0fe35 100644 --- a/manual/develop/ja/api/physbo.search.score.html +++ b/manual/develop/ja/api/physbo.search.score.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.search.score_multi.html b/manual/develop/ja/api/physbo.search.score_multi.html index 98918d46..0c766ed0 100644 --- a/manual/develop/ja/api/physbo.search.score_multi.html +++ b/manual/develop/ja/api/physbo.search.score_multi.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.search.utility.html b/manual/develop/ja/api/physbo.search.utility.html index 39005f8b..76558c87 100644 --- a/manual/develop/ja/api/physbo.search.utility.html +++ b/manual/develop/ja/api/physbo.search.utility.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/api/physbo.variable.html b/manual/develop/ja/api/physbo.variable.html index c0abb5de..df6d7300 100644 --- a/manual/develop/ja/api/physbo.variable.html +++ b/manual/develop/ja/api/physbo.variable.html @@ -16,7 +16,7 @@ - + @@ -112,7 +112,7 @@

    • X (numpy array) -- N x d dimensional matrix. Each row of X denotes the d-dimensional feature vector of each search candidate.

    • t (numpy array) -- N dimensional array. The negative energy of each search candidate (value of the objective function to be optimized).

      • -

    • Z --

      • +

    • Z

@@ -135,7 +135,7 @@

Adding variable Z. If self.Z is None, self.Z is set as Z.

パラメータ:
-

Z --

+

Z

diff --git a/manual/develop/ja/contact.html b/manual/develop/ja/contact.html index 945f39d6..ab181b98 100644 --- a/manual/develop/ja/contact.html +++ b/manual/develop/ja/contact.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/genindex.html b/manual/develop/ja/genindex.html index b275dea9..7fe9884d 100644 --- a/manual/develop/ja/genindex.html +++ b/manual/develop/ja/genindex.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/index.html b/manual/develop/ja/index.html index a5c1fad3..37085f99 100644 --- a/manual/develop/ja/index.html +++ b/manual/develop/ja/index.html @@ -16,10 +16,12 @@ - + + + diff --git a/manual/develop/ja/install.html b/manual/develop/ja/install.html index 4d347664..b64fce8d 100644 --- a/manual/develop/ja/install.html +++ b/manual/develop/ja/install.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/introduction.html b/manual/develop/ja/introduction.html index aa1022f1..e19f77bd 100644 --- a/manual/develop/ja/introduction.html +++ b/manual/develop/ja/introduction.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/notebook/index.html b/manual/develop/ja/notebook/index.html index c3838cd4..c300d57a 100644 --- a/manual/develop/ja/notebook/index.html +++ b/manual/develop/ja/notebook/index.html @@ -16,10 +16,12 @@ - + + + diff --git a/manual/develop/ja/notebook/tutorial_Gaussian_process.html b/manual/develop/ja/notebook/tutorial_Gaussian_process.html index 10f582c5..bbad23db 100644 --- a/manual/develop/ja/notebook/tutorial_Gaussian_process.html +++ b/manual/develop/ja/notebook/tutorial_Gaussian_process.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/ja/notebook/tutorial_basic.html b/manual/develop/ja/notebook/tutorial_basic.html index 02dda0e4..244171aa 100644 --- a/manual/develop/ja/notebook/tutorial_basic.html +++ b/manual/develop/ja/notebook/tutorial_basic.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/ja/notebook/tutorial_interactive_mode.html b/manual/develop/ja/notebook/tutorial_interactive_mode.html index 8d2d335a..cfbbb27f 100644 --- a/manual/develop/ja/notebook/tutorial_interactive_mode.html +++ b/manual/develop/ja/notebook/tutorial_interactive_mode.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/ja/notebook/tutorial_multi_objective.html b/manual/develop/ja/notebook/tutorial_multi_objective.html index 20840c0d..c6ac6089 100644 --- a/manual/develop/ja/notebook/tutorial_multi_objective.html +++ b/manual/develop/ja/notebook/tutorial_multi_objective.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/ja/notebook/tutorial_multi_probe.html b/manual/develop/ja/notebook/tutorial_multi_probe.html index 6e4fc509..bd0238dc 100644 --- a/manual/develop/ja/notebook/tutorial_multi_probe.html +++ b/manual/develop/ja/notebook/tutorial_multi_probe.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/ja/notebook/tutorial_once_mode.html b/manual/develop/ja/notebook/tutorial_once_mode.html index e063da89..78181cb5 100644 --- a/manual/develop/ja/notebook/tutorial_once_mode.html +++ b/manual/develop/ja/notebook/tutorial_once_mode.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/ja/notebook/tutorial_simulator.html b/manual/develop/ja/notebook/tutorial_simulator.html index ad269c65..1e5f81b2 100644 --- a/manual/develop/ja/notebook/tutorial_simulator.html +++ b/manual/develop/ja/notebook/tutorial_simulator.html @@ -17,7 +17,7 @@ - + diff --git a/manual/develop/ja/py-modindex.html b/manual/develop/ja/py-modindex.html index d4e48b5d..bc30f263 100644 --- a/manual/develop/ja/py-modindex.html +++ b/manual/develop/ja/py-modindex.html @@ -15,7 +15,7 @@ - + diff --git a/manual/develop/ja/search.html b/manual/develop/ja/search.html index 6a8a5636..14df5010 100644 --- a/manual/develop/ja/search.html +++ b/manual/develop/ja/search.html @@ -16,7 +16,7 @@ - + diff --git a/manual/develop/ja/searchindex.js b/manual/develop/ja/searchindex.js index 7aa1c7cb..8e031e03 100644 --- a/manual/develop/ja/searchindex.js +++ b/manual/develop/ja/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["acknowledgement", "algorithm", "api/modules", "api/physbo", "api/physbo.blm", "api/physbo.blm.basis", "api/physbo.blm.basis.fourier", "api/physbo.blm.core", "api/physbo.blm.core.model", "api/physbo.blm.inf", "api/physbo.blm.inf.exact", "api/physbo.blm.lik", "api/physbo.blm.lik.gauss", "api/physbo.blm.lik.linear", "api/physbo.blm.predictor", "api/physbo.blm.prior", "api/physbo.blm.prior.gauss", "api/physbo.gp", "api/physbo.gp.core", "api/physbo.gp.core.learning", "api/physbo.gp.core.model", "api/physbo.gp.core.prior", "api/physbo.gp.cov", "api/physbo.gp.cov.gauss", "api/physbo.gp.inf", "api/physbo.gp.inf.exact", "api/physbo.gp.lik", "api/physbo.gp.lik.gauss", "api/physbo.gp.mean", "api/physbo.gp.mean.const", "api/physbo.gp.mean.zero", "api/physbo.gp.predictor", "api/physbo.misc", "api/physbo.misc.centering", "api/physbo.misc.gauss_elim", "api/physbo.misc.set_config", "api/physbo.opt", "api/physbo.opt.adam", "api/physbo.predictor", "api/physbo.search", "api/physbo.search.discrete", "api/physbo.search.discrete.policy", "api/physbo.search.discrete.results", "api/physbo.search.discrete_multi", "api/physbo.search.discrete_multi.policy", "api/physbo.search.discrete_multi.results", "api/physbo.search.pareto", "api/physbo.search.score", "api/physbo.search.score_multi", "api/physbo.search.utility", "api/physbo.variable", "contact", "index", "install", "introduction", "notebook/index", "notebook/tutorial_Gaussian_process", "notebook/tutorial_basic", "notebook/tutorial_interactive_mode", "notebook/tutorial_multi_objective", "notebook/tutorial_multi_probe", "notebook/tutorial_once_mode", "notebook/tutorial_simulator"], "filenames": ["acknowledgement.rst", "algorithm.rst", "api/modules.rst", "api/physbo.rst", "api/physbo.blm.rst", "api/physbo.blm.basis.rst", "api/physbo.blm.basis.fourier.rst", "api/physbo.blm.core.rst", "api/physbo.blm.core.model.rst", "api/physbo.blm.inf.rst", "api/physbo.blm.inf.exact.rst", "api/physbo.blm.lik.rst", "api/physbo.blm.lik.gauss.rst", "api/physbo.blm.lik.linear.rst", "api/physbo.blm.predictor.rst", "api/physbo.blm.prior.rst", "api/physbo.blm.prior.gauss.rst", "api/physbo.gp.rst", "api/physbo.gp.core.rst", "api/physbo.gp.core.learning.rst", "api/physbo.gp.core.model.rst", "api/physbo.gp.core.prior.rst", "api/physbo.gp.cov.rst", "api/physbo.gp.cov.gauss.rst", "api/physbo.gp.inf.rst", "api/physbo.gp.inf.exact.rst", "api/physbo.gp.lik.rst", "api/physbo.gp.lik.gauss.rst", "api/physbo.gp.mean.rst", "api/physbo.gp.mean.const.rst", "api/physbo.gp.mean.zero.rst", "api/physbo.gp.predictor.rst", "api/physbo.misc.rst", "api/physbo.misc.centering.rst", "api/physbo.misc.gauss_elim.rst", "api/physbo.misc.set_config.rst", "api/physbo.opt.rst", "api/physbo.opt.adam.rst", "api/physbo.predictor.rst", "api/physbo.search.rst", "api/physbo.search.discrete.rst", "api/physbo.search.discrete.policy.rst", "api/physbo.search.discrete.results.rst", "api/physbo.search.discrete_multi.rst", "api/physbo.search.discrete_multi.policy.rst", "api/physbo.search.discrete_multi.results.rst", "api/physbo.search.pareto.rst", "api/physbo.search.score.rst", "api/physbo.search.score_multi.rst", "api/physbo.search.utility.rst", "api/physbo.variable.rst", "contact.rst", "index.rst", "install.rst", "introduction.rst", "notebook/index.rst", "notebook/tutorial_Gaussian_process.ipynb", "notebook/tutorial_basic.ipynb", "notebook/tutorial_interactive_mode.ipynb", "notebook/tutorial_multi_objective.ipynb", "notebook/tutorial_multi_probe.ipynb", "notebook/tutorial_once_mode.ipynb", "notebook/tutorial_simulator.ipynb"], "titles": ["\u8b1d\u8f9e", "\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0", "physbo", "physbo package", "physbo.blm package", "physbo.blm.basis package", "physbo.blm.basis.fourier module", "physbo.blm.core package", "physbo.blm.core.model module", "physbo.blm.inf package", "physbo.blm.inf.exact module", "physbo.blm.lik package", "physbo.blm.lik.gauss module", "physbo.blm.lik.linear module", "physbo.blm.predictor module", "physbo.blm.prior package", "physbo.blm.prior.gauss module", "physbo.gp package", "physbo.gp.core package", "physbo.gp.core.learning module", "physbo.gp.core.model module", "physbo.gp.core.prior module", "physbo.gp.cov package", "physbo.gp.cov.gauss module", "physbo.gp.inf package", "physbo.gp.inf.exact module", "physbo.gp.lik package", "physbo.gp.lik.gauss module", "physbo.gp.mean package", "physbo.gp.mean.const module", "physbo.gp.mean.zero module", "physbo.gp.predictor module", "physbo.misc package", "physbo.misc.centering module", "physbo.misc.gauss_elim module", "physbo.misc.set_config module", "physbo.opt package", "physbo.opt.adam module", "physbo.predictor module", "physbo.search package", "physbo.search.discrete package", "physbo.search.discrete.policy module", "physbo.search.discrete.results module", "physbo.search.discrete_multi package", "physbo.search.discrete_multi.policy module", "physbo.search.discrete_multi.results module", "physbo.search.pareto module", "physbo.search.score module", "physbo.search.score_multi module", "physbo.search.utility module", "physbo.variable module", "\u304a\u554f\u3044\u5408\u308f\u305b", "Welcome to PHYSBO's documentation!", "\u57fa\u672c\u7684\u306a\u4f7f\u7528\u65b9\u6cd5", "\u306f\u3058\u3081\u306b", "\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb", "\u30ac\u30a6\u30b9\u904e\u7a0b", "PHYSBO \u306e\u57fa\u672c", "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306b\u5b9f\u884c\u3059\u308b", "\u591a\u76ee\u7684\u6700\u9069\u5316", "\u8907\u6570\u5019\u88dc\u3092\u4e00\u5ea6\u306b\u63a2\u7d22\u3059\u308b", "\u65e2\u5b58\u306e\u8a08\u7b97\u7d50\u679c\u3092\u8aad\u307f\u8fbc\u3093\u3067\u5b9f\u884c\u3059\u308b", "simulator\u30af\u30e9\u30b9\u306e\u5b9a\u7fa9"], "terms": {"physbo": [0, 51, 55, 56, 58, 59, 60, 62], "\u6771\u4eac": [0, 54], "\u5927\u5b66": [0, 54], "\u7269\u6027": [0, 54], "\u7814\u7a76": [0, 51, 54], "\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2": [0, 54], "\u9ad8\u5ea6": [0, 54], "\u30d7\u30ed\u30b8\u30a7\u30af\u30c8": [0, 54], "\u5e74\u5ea6": [0, 54], "\u652f\u63f4": [0, 54], "\u53d7\u3051": [0, 54], "\u958b\u767a": [0, 52, 53], "\u307e\u3057": [0, 54, 56], "\u3053\u306e": [0, 1, 53, 54, 57, 59, 62], "\u501f\u308a": 0, "\u611f\u8b1d": 0, "\u307e\u3059": [0, 1, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "\u3053\u3053": [1, 55, 56, 57, 61, 62], "\u306b\u95a2\u3059\u308b": [1, 51, 53, 57], "\u8aac\u660e": 1, "\u884c\u3044": [1, 53, 54, 56, 57, 58, 59, 61], "\u6280\u8853": [1, 54], "\u8a73\u7d30": [1, 53, 54], "\u306b\u3064\u3044\u3066": [1, 51, 53, 54, 56, 59, 61, 62], "\u3053\u3061\u3089": [1, 51, 53, 54], "\u6587\u732e": [1, 53, 54, 56, 59], "\u53c2\u7167": [1, 6, 53, 54, 56, 57], "\u304f\u3060": [1, 51, 53, 54, 56, 57, 59, 60], "\u3055\u3044": [1, 51, 53, 54, 56, 57, 59, 60], "\u8907\u96d1": [1, 53, 54], "\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3": [1, 53, 54], "\u5b9f\u4e16\u754c": [1, 53, 54], "\u304a\u3051\u308b": [1, 53, 54, 56, 57, 59], "\u5b9f\u9a13": [1, 53, 54, 57, 58], "\u30bf\u30b9\u30af": [1, 53, 54], "\u306a\u3069": [1, 51, 53, 54, 56, 57, 58, 62], "\u76ee\u7684": [1, 53, 54, 56, 57, 58, 62], "\u95a2\u6570": [1, 53, 54, 55, 56, 58, 61, 62], "\u7279\u6027": [1, 53, 54], "\u8a55\u4fa1": [1, 53, 54, 55, 56, 57, 58, 59, 60, 62], "\u5927\u304d": [1, 53, 54, 59], "\u30b3\u30b9\u30c8": [1, 53, 54], "\u304b\u304b\u308b": [1, 53, 54, 59], "\u3088\u3046": [1, 53, 54, 56, 57, 58, 59, 60, 61, 62], "\u5834\u5408": [1, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "\u5229\u7528": [1, 54, 56, 57, 59, 61], "\u3067\u304d\u308b": [1, 54, 57, 62], "\u624b\u6cd5": [1, 54], "\u3067\u3059": [1, 53, 54, 57, 59, 60, 62], "\u3002\u3064\u307e\u308a": [1, 53, 54, 57], "\u3001\u300c": [1, 54, 59], "\u3060\u3051": [1, 53, 54, 57], "\u5c11\u306a\u3044": [1, 54], "\u30fb\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3": [1, 54], "\u56de\u6570": [1, 54], "\u3088\u308a": [1, 53, 54, 57, 59], "\u826f\u3044": [1, 54, 59], "\u6750\u6599": [1, 53, 54], "\u6301\u3064": [1, 54, 57, 62], "\u5909\u6570": [1, 53, 57, 61, 62], "\u7d44\u6210": [1, 54], "\u69cb\u9020": [1, 52, 54, 56], "\u30d7\u30ed\u30bb\u30b9": [1, 54, 56, 58, 61], "\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30d1\u30e9\u30e1\u30fc\u30bf": [1, 54], "\u898b\u3064\u3051": [1, 54], "\u51fa\u3059": [1, 54], "\u3053\u3068": [1, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "\u306b\u3088\u3063": [1, 54, 60], "\u89e3\u304b": [1, 54], "\u308c\u308b": [1, 53, 54, 57, 60], "\u554f\u984c": [1, 51, 53, 54, 56, 57, 62], "\u63a2\u7d22": [1, 52, 53, 54, 55], "\u3059\u308b": [1, 51, 52, 53, 54, 55, 56, 57, 59, 62], "\u30d9\u30af\u30c8\u30eb": [1, 53], "\\bf": 1, "\u8868\u3059": 1, "\u5019\u88dc": [1, 52, 53, 54, 55, 62], "\u3042\u3089\u304b\u3058\u3081": [1, 54, 59], "\u30ea\u30b9\u30c8\u30a2\u30c3\u30d7": [1, 53, 54], "\u72b6\u6cc1": 1, "\u304b\u3089": [1, 53, 54, 55, 57, 58, 59, 62], "\u30b9\u30bf\u30fc\u30c8": 1, "\u305d\u3057\u3066": 1, "\u826f\u304f": 1, "\u306a\u308b": [1, 53, 57, 59, 60, 62], "\u8003\u3048": [1, 54], "\u3089\u308c\u308b": [1, 54], "\u6a5f\u68b0": [1, 54], "\u5b66\u7fd2": [1, 53, 54, 55, 57, 58], "\u30ac\u30a6\u30b9": [1, 52, 53, 54, 55, 57], "\u904e\u7a0b": [1, 52, 53, 54, 55, 57], "\u56de\u5e30": [1, 53, 54, 55, 56], "\u4e88\u6e2c": [1, 53, 54, 55, 58], "\u3046\u307e\u304f": [1, 54], "\u9078\u5b9a": [1, 54], "\u305d\u306e": [1, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "\u306b\u5bfe\u3057": [1, 53, 54, 56, 57, 62], "\u7e70\u308a\u8fd4\u3059": [1, 54, 61], "\u306b\u3088\u308a": [1, 53, 54, 57, 58, 60], "\u53ef\u80fd": [1, 53, 54, 56, 57, 62], "\u306a\u308a": [1, 53, 54, 56, 59, 60], "\u4ee5\u4e0b": [1, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "\u793a\u3057": [1, 57, 62], "\u30b9\u30c6\u30c3\u30d7": [1, 53, 57, 58, 60], "\u521d\u671f\u5316": 1, "\u305f\u3044": [1, 53, 56, 57, 58, 59], "\u7a7a\u9593": [1, 53, 57, 59], "\u7528\u610f": [1, 53, 55, 62], "\u30fb\u30d7\u30ed\u30bb\u30b9": 1, "\u8868\u73fe": 1, "\u6bb5\u968e": [1, 53, 57], "\u308f\u304b\u3063": 1, "\u3044\u307e\u305b": 1, "\u3046\u3061": [1, 56, 62], "\u521d\u671f": [1, 53, 57, 61, 62], "\u72b6\u614b": [1, 59], "\u3068\u3057": [1, 53, 59], "\u3044\u304f\u3064\u304b": 1, "\u9078\u3073": [1, 53, 62], "\u307e\u305f": [1, 53, 56, 57, 58, 59, 62], "\u898b\u7a4d": 1, "\u3082\u308a": 1, "\u3053\u308c": [1, 56, 58, 59, 60, 61, 62], "\u63c3\u3063": 1, "\u30c7\u30fc\u30bf": [1, 54, 55], "{\\": 1, "bf": 1, "}_": 1, "_i": [1, 59], "{(i": 1, "cdots": [1, 59], ")}": 1, "\u3089\u308c": [1, 56, 61, 62], "\u7528\u3044": [1, 53, 56, 57], "\u306b\u3088\u308c": 1, "\u4efb\u610f": [1, 59], "\u306b\u304a\u3051\u308b": 1, "\u5e73\u5747": [1, 56], "\\mu": 1, "_c": 1, "})": [1, 56, 59], "\u5206\u6563": [1, 56, 57], "\\sigma": 1, "\u3068\u3059\u308b": 1, "}(": 1, "^t": [1, 34], "+\\": 1, "sigma": [1, 16], ")^": [1, 34, 59], "{-": 1, "}{": 1, "({": 1, "= k": 1, "},": [1, 54], "(k": 1, "\u305f\u3060\u3057": 1, "}'": 1, "\u30ab\u30fc\u30cd\u30eb": 1, "\u547c\u3070": 1, "\u3042\u308a": [1, 53, 56, 57, 59, 60, 62], "\uff12\u3064": 1, "\u985e\u4f3c": 1, "\u8868\u3057": 1, "\u4e00\u822c": [1, 54, 57, 62], "\u30ac\u30a6\u30b9\u30ab\u30fc\u30cd\u30eb": 1, "\u4f7f\u308f": 1, "= \\": 1, "exp": [1, 27, 59], "left": 1, "-\\": 1, "frac": 1, "eta": 1, "}|": 1, "|{\\": 1, "||": 1, "right": [1, 59], "\u304a\u3088\u3073": [1, 53, 54, 56], "\u8a08\u7b97": [1, 52, 54, 55, 56, 57, 62], ", k": 1, ", \\": 1, "top": 1, "\\[": 1, "begin": 1, "{array": 1, "cccc": 1, "& k": 1, "& \\": 1, "ldots": 1, "\\\\": [1, 59], "vdots": 1, "ddots": 1, "end": [1, 59], "\u307e\u3060": [1, 57], "\u884c\u3063": [1, 57, 58, 62], "\u306a\u3044": [1, 53, 56, 57, 59, 61], "\u4e0d\u78ba": 1, "\u304b\u3055": 1, "\u95a2\u9023": [1, 51, 53], "\u7372\u5f97": [1, 53, 55], "\u307e\u3060\u308f\u304b\u3063": 1, "\u6700\u5927": [1, 53, 54, 57, 59, 62], "}^": [1, 59], "\u3068\u304d": [1, 53, 57, 59], "\\eta": 1, "\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30bf": 1, "\u81ea\u52d5": 1, "\u8a2d\u5b9a": [1, 56, 57, 62], "\u3068\u3057\u3066": [1, 53, 56, 57, 58, 59, 61, 62], "\u4f8b\u3048": [1, 53, 56, 57, 58], "\u6539\u5584": [1, 59], "\u78ba\u7387": [1, 53, 59], "(pi": 1, "probability": [1, 41, 44, 47, 48, 53, 57], "of": [1, 6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 46, 47, 48, 50, 53, 54, 56, 57, 62], "improvement": [1, 41, 44, 47, 48, 53, 57], ")\u3001": 1, "\u671f\u5f85": [1, 53, 57, 59], "(ei": 1, "expected": [1, 41, 44, 47, 48, 53, 57], "\u6709\u7528": 1, "pi": [1, 3, 39, 41, 44, 47, 53, 57, 62], "\u30b9\u30b3\u30a2": [1, 57, 61, 62], "\u5b9a\u7fa9": [1, 53, 55], "\\text": 1, "{pi": 1, "(\\": [1, 59], "mathbf": 1, "{x": [1, 59], "phi": 1, "),": [1, 14, 29, 41, 42, 44, 56, 57, 59, 61], "mu": 1, "_{": [1, 56, 59], "max": [1, 19, 20, 23, 27, 29, 37, 41, 44, 47, 57, 58, 59, 60, 62], "}}": 1, "\\phi": 1, "cdot": 1, "\u7d2f\u7a4d": 1, "\u5206\u5e03": [1, 53, 57, 59], "pi\u30b9\u30b3\u30a2": 1, "\u73fe\u5728": [1, 57], "\u3044\u308b": [1, 51, 56, 57, 59, 62], "\u8d85\u3048\u308b": [1, 53], "\u3055\u3089\u306b": 1, "ei": [1, 3, 39, 41, 44, 47, 53, 57, 58, 60, 62], "\u3068\u306e": [1, 60], "\u6b21\u5f0f": 1, "\u4e0e\u3048": [1, 56, 58], "{ei": 1, "[\\": 1, "-y": 1, "}]": 1, "+ \\": 1, "\u5bc6\u5ea6": 1, "\u4e00\u3064": [1, 56, 57, 62], "\u8ffd\u52a0": [1, 53], "\u3088\u3044": [1, 57, 62], "random": [1, 6, 8, 13, 41, 44, 53, 54, 57, 58, 59, 61, 62], "feature": [1, 6, 8, 10, 12, 13, 14, 19, 20, 21, 23, 25, 33, 41, 44, 50, 54, 62], "map": [1, 8, 10, 13, 54], "\u30c8\u30f3\u30d7\u30bd\u30f3\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0": 1, "\u30b3\u30ec\u30b9\u30ad\u30fc": 1, "\u5206\u89e3": 1, "\u5b9f\u73fe": [1, 54], "\u307e\u305a": [1, 57], "\u5c0e\u5165": 1, "\u8fd1\u4f3c": 1, "- \\": 1, "\\|": 1, "| \\": 1, "]^": 1, "simeq": 1, "^\\": 1, "omega": 1, "}/": 1, "...": [1, 56], ", z": 1, "_l": 1, "sqrt": [1, 59], "cos": [1, 6], "boldsymbol": 1, "}+": 1, "\\boldsymbol": 1, "\\pi": 1, "{-d": 1, "|\\": 1, "}\\": [1, 59], "|^": 1, "\u751f\u6210": [1, 56, 59], "\u4e00\u69d8": 1, "\u9078\u3070": 1, "to": [1, 14, 19, 20, 21, 23, 25, 27, 29, 31, 33, 34, 37, 38, 41, 42, 44, 50, 62], "infty": 1, "\u6975\u9650": 1, "\u53b3\u5bc6": 1, "\u6210\u7acb": 1, "\u6b21\u5143": [1, 53, 57, 59, 62], "\\mathbf": 1, "\u5404\u5217": 1, "\u5217\u884c": 1, "{k": 1, "\\\nk": 1, "\u3068\u3044\u3046": [1, 53, 54, 57, 60, 61, 62], "\u95a2\u4fc2": [1, 59, 61], "\u304c\u308f\u304b\u308a": [1, 57, 62], "\u6642\u9593": [1, 56, 59, 61], "(l": 1, "\u306b\u3059\u308b": 1, "\u7d39\u4ecb": [1, 55, 56, 62], "\u5fc5\u8981": [1, 56, 57, 62], "\u3042\u308b": [1, 51, 53, 56, 57, 59, 62], "\u305f\u3081": [1, 51, 53, 54, 56, 57, 59, 61, 62], "\u306a\u3063": [1, 53, 56, 57, 59, 62], "\u3057\u307e\u3046": 1, "\u6ce8\u610f": [1, 59], "\u884c\u3046": [1, 53, 56, 58, 62], "\u7dda\u5f62": 1, "\u30e2\u30c7\u30eb": [1, 55, 58], "{w": 1, "\u524d\u8ff0": 1, "\u4fc2\u6570": 1, "\u304c\u3042\u305f\u3048": 1, "\u5f93\u3046": 1, "\u6c7a\u307e\u308a": 1, "mathcal": 1, "{n": [1, 59], "{y": 1, "\u4e8b\u5f8c": [1, 53, 57, 59], "\u304c\u3063": 1, "\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0": [1, 53, 59], "\u305d\u308c": [1, 53, 57], "{ts": 1, "*}": 1, "\u3068\u8868\u3059": 1, "\u9078\u51fa": 1, "\u5b9f\u884c": [1, 51, 52, 55, 56], "\u3067\u304d": [1, 53, 56, 57, 58, 59, 60, 61, 62], "\u884c\u5217": [1, 57], "^{": [1, 59], "\u3053\u3053\u3067": [1, 53, 62], "\u30a4\u30c6\u30ec\u30fc\u30b7\u30e7\u30f3": 1, "\u304a\u3044": [1, 54, 60], "\u65b0\u3057\u304f": 1, ", y": 1, "')": [1, 57, 58, 59], "\u52a0\u308f\u3063": 1, "= a": 1, ") \\": 1, ")^\\": 1, "\u66f4\u65b0": [1, 53, 59], "\u7528\u3044\u308b": [1, 53, 58, 62], "\u3082\u3057": 1, "\u3054\u3068": [1, 57], "\u6bce\u56de": [1, 57, 62], "\u5b9f\u969b": [1, 56], "\\mathcal": 1, "\u89e3\u304f": 1, "\u3053\u308c\u3089": [1, 53, 57], "\u307b\u307c": 1, "package": [2, 54], "subpackages": [2, 52], ".blm": [2, 3, 20], "submodules": [2, 52], "module": [2, 52], "contents": 2, ".gp": [2, 3, 56], ".misc": [2, 3, 14, 20, 56, 58, 60, 61], ".opt": [2, 3], ".search": [2, 3, 53, 57, 58, 59, 60, 61, 62], ".predictor": [2, 3, 4, 17, 41, 44, 47, 58], "base": [2, 3, 14, 19, 31, 38, 41, 44, 47], "_predictor": [2, 3, 14, 31, 38, 40, 41, 42, 43, 44, 45, 58], ".variable": [2, 3, 14, 31, 41, 44, 47, 58], "variable": [2, 3, 44, 50, 53], ".basis": [3, 4, 8, 10, 11, 12], ".core": [3, 4, 10, 14, 17, 25], ".inf": [3, 4, 8, 17, 20], ".lik": [3, 4, 7, 8, 10, 17, 56], ".prior": [3, 4, 7, 8, 17, 18, 56], "predictor": [3, 4, 14, 17, 20, 31, 38, 41, 42, 44, 47, 48, 53, 58], ".cov": [3, 11, 12, 15, 16, 17, 56], ".mean": [3, 17, 56], ".centering": [3, 32, 56, 58, 60, 61], "centering": [3, 32, 33], "()": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43, 53, 56, 57, 58, 59, 60, 61, 62], ".gauss": [3, 4, 8, 11, 15, 17, 22, 26, 32, 56], "_elim": [3, 32], "gauss": [3, 4, 11, 12, 15, 16, 17, 22, 23, 26, 27, 32, 34], ".set": [3, 5, 11, 14, 15, 18, 20, 22, 26, 28, 32, 36, 39, 40, 56, 57, 58, 59, 60, 61, 62], "_config": [3, 14, 20, 32, 56], "adam": [3, 17, 18, 19, 32, 35, 36, 37], "batch": [3, 17, 18, 19, 32, 35], "boolean": [3, 32, 35], "learning": [3, 19, 32, 35, 41, 42, 44, 56, 61, 62], "online": [3, 17, 18, 19, 32, 35], "search": [3, 19, 20, 21, 23, 25, 27, 32, 33, 35, 41, 42, 44, 50, 53, 57, 62], "set": [3, 6, 12, 13, 14, 16, 20, 21, 23, 27, 29, 30, 31, 32, 35, 37, 38, 41, 44, 46, 47, 50, 59, 62], ".adam": [3, 36], ".discrete": [3, 39, 53, 57, 58, 59, 60, 61, 62], "_multi": [3, 39, 49, 59], ".pareto": [3, 39, 59], "pareto": [3, 39, 44, 46, 48, 59], "rectangles": [3, 39, 46], "dominate": [3, 39, 46], ".score": [3, 39], "ts": [3, 39, 41, 44, 47, 48, 53, 57, 61, 62], "score": [3, 38, 39, 41, 44, 47, 48, 49, 53, 57, 58, 59, 61, 62], "ehvi": [3, 39, 48], "hvpi": [3, 39, 48], ".utility": [3, 39, 58], "is": [3, 6, 19, 20, 21, 23, 25, 27, 38, 39, 41, 42, 44, 46, 47, 49, 50, 62], "_learning": [3, 39, 49], "length": [3, 39, 49], "_vector": [3, 39, 49], "show": [3, 6, 23, 35, 39, 49], "_interactive": [3, 39, 49], "_mode": [3, 39, 49], "_search": [3, 18, 19, 39, 40, 41, 43, 44, 46, 49, 53, 57, 58, 59, 60, 61, 62], "_results": [3, 39, 49, 58], "_mo": [3, 39, 49], "_start": [3, 39, 49], "_message": [3, 39, 49], ".delete": [3, 4, 17], "_stats": [3, 4, 7, 8, 9, 10, 14, 17, 31, 38], ".fit": [3, 4, 17, 18, 56], ".get": [3, 4, 5, 7, 8, 10, 11, 12, 13, 15, 17, 18, 20, 22, 26, 28, 31, 40, 43, 56, 57], "_basis": [3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 17, 20, 23, 31, 38, 41, 44, 57, 58, 59, 60, 61, 62], "_post": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "_fcov": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "_fmean": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "_params": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29, 30, 31, 36, 37, 38, 56], "_samples": [3, 4, 14, 17, 31, 38], "_predict": [3, 4, 14, 17, 31, 38], ".load": [3, 22, 32, 40, 43, 50, 57, 58], ".prepare": [3, 4, 7, 8, 17, 18, 22, 56], ".save": [3, 22, 40, 43, 57, 58], ".update": [3, 4, 7, 8, 17, 36, 38, 39], ".add": [3, 39], "_x": [3, 19, 41, 44, 50, 57, 58, 59, 60, 61, 62], "_z": [3, 50], "_t": [3, 19, 50], "_subset": [3, 50], ".fourier": [4, 5, 12], "fourier": [4, 5, 6], ".model": [4, 7, 10, 14, 17, 18, 25, 56], "model": [4, 7, 8, 10, 14, 17, 18, 20, 31, 38, 53, 54, 57], ".exact": [4, 8, 9, 17, 20, 24, 31], "get": [4, 6, 8, 9, 10, 12, 13, 14, 16, 17, 19, 20, 21, 23, 24, 25, 27, 29, 30, 31, 38, 41, 44, 50, 57], "_mean": [4, 7, 8, 9, 10, 11, 12, 13, 15, 16, 18, 21, 28, 29, 30], "prepare": [4, 8, 9, 10, 14, 17, 20, 23, 24, 25, 31, 38], "sampling": [4, 8, 9, 10, 12, 14, 20, 21, 27, 41, 44, 47, 53, 54, 57, 58, 62], "update": [4, 6, 8, 9, 10, 14, 20, 31, 37, 38, 41, 44, 46, 54], ".linear": [4, 8, 10, 11], "linear": [4, 8, 11, 12, 13, 14, 20, 53, 57], "cov": [4, 12, 15, 16, 20, 21, 41, 44, 56], "_const": [4, 15, 16], ".config": [4, 14, 31], "bayesian": [4, 41, 44, 54, 57, 58, 62], ".params": [5, 6, 11, 12, 13, 15, 16, 36, 56], ".nbasis": [5, 7, 11, 15], ".show": [5, 32, 58, 59], "class": [6, 8, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 35, 37, 38, 41, 42, 44, 45, 46, 47, 50, 57, 58, 59, 60, 62], "params": [6, 12, 13, 16, 19, 20, 21, 23, 25, 27, 29, 30, 37], "\u30bd\u30fc\u30b9": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 45, 46, 47, 48, 49, 50], "\u30d9\u30fc\u30b9\u30af\u30e9\u30b9": [6, 8, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 35, 37, 38, 41, 42, 44, 45, 46, 50], "object": [6, 8, 12, 13, 16, 19, 20, 21, 23, 27, 29, 30, 35, 37, 38, 41, 42, 44, 45, 46, 47, 50], "maps": [6, 8, 10, 12, 13, 14, 20], "psi": [6, 8, 10, 12, 13, 14], "(x": [6, 8, 10, 13, 14, 37, 56, 57, 58, 59, 60, 61, 62], ",b": 6, "[x": 6, "wt": 6, "alpha": [6, 8, 10, 14, 20, 31, 34, 37, 41, 44, 47, 48, 57], "where": 6, "input": [6, 8, 10, 12, 13, 20, 29, 35, 37, 41, 44, 62], "-by": [6, 13, 16], "-d": [6, 13], "matrix": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 31, 33, 34, 41, 44, 50], "weight": [6, 8, 10, 12, 13], "transpose": 6, "bias": [6, 12, 13], "-l": [6, 13], "coefficient": 6, "and": [6, 16, 19, 20, 21, 23, 29, 33, 35, 41, 42, 44, 47, 48, 54, 56, 58, 59, 62], "number": [6, 8, 10, 13, 14, 16, 19, 20, 21, 23, 27, 29, 31, 37, 41, 42, 44, 62], "data": [6, 8, 14, 20, 21, 29, 31, 42, 47, 56, 58, 60, 61], "dimension": [6, 12, 30, 37], "basis": [6, 12, 13, 14, 19, 20, 23, 31, 38, 41, 44, 62], "type": [6, 8, 12, 13, 14, 16, 23, 37, 41, 44, 62], "tuple": [6, 8, 10, 20, 23, 27], "nbasis": [6, 8, 13, 16], "int": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 37, 41, 44, 50, 56], "rahimi": 6, "recht": 6, "features": [6, 8], "for": [6, 8, 10, 13, 14, 19, 20, 21, 23, 27, 29, 31, 41, 42, 44, 46, 47, 48, 50, 54, 57, 59, 62], "large": 6, "-scale": 6, "kernel": [6, 8, 23], "machines": 6, ",\"": 6, "in": [6, 8, 20, 29, 31, 38, 41, 42, 44, 46, 47, 56, 57, 59, 62], "advances": 6, "neural": [6, 59], "information": [6, 23, 35, 38, 41, 42, 44], "processing": 6, "systems": 6, "pp": 6, "none": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 35, 38, 41, 42, 44, 45, 46, 47, 48, 49, 50], "compute": [6, 23], "the": [6, 8, 10, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 31, 33, 34, 37, 38, 41, 42, 44, 46, 47, 50, 54, 56, 57, 61, 62], "value": [6, 8, 12, 13, 14, 16, 20, 21, 23, 25, 27, 29, 31, 38, 41, 42, 44, 47, 50, 62], "\u30d1\u30e9\u30e1\u30fc\u30bf": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 46, 47, 50, 53, 54, 55, 56, 57, 58], "numpy": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 37, 41, 42, 44, 47, 50, 53, 56, 57, 58, 59, 60, 61, 62], ".ndarray": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 34, 37, 41, 42, 44, 47], "--": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 46, 47, 50], "default": [6, 8, 10, 12, 13, 14, 16, 19, 20, 31, 38, 41, 42, 44, 47], "self": [6, 12, 13, 14, 16, 31, 37, 38, 41, 44, 50, 57, 58, 59, 60, 62], "\u623b\u308a\u5024": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 41, 42, 44, 47, 50], "parameters": [6, 8, 10, 12, 13, 19, 20, 21, 23, 25, 27, 29, 38, 41, 44], "print": [6, 20, 23, 56, 57, 61, 62], ".stats": [7, 10, 11], ".method": 7, ".post": [7, 18], "_sampling": [7, 8, 18, 20], ".predict": [7, 14, 18, 31], ".sampling": [7, 8, 11, 18, 26], "lik": [8, 20, 56], "prior": [8, 16, 17, 18, 20, 21, 56], "options": [8, 37], "baysean": [8, 14], "distribution": [8, 41, 44, 47], "weights": [8, 10, 14], "stats": [8, 12, 25], "auxially": [8, 10], "method": [8, 37], "str": [8, 23, 35, 38, 41, 42, 44, 47, 50], "diag": [8, 10, 20, 21, 23, 25, 31], "true": [8, 10, 20, 21, 23, 25, 31, 35, 41, 44], "calculates": [8, 10, 12, 14, 16, 37], "posterior": [8, 10, 14, 20, 25, 31, 47], "covariance": [8, 10, 12, 16, 20, 21, 25, 27, 31, 38, 41, 44, 56], "inputs": [8, 10, 14, 20, 31, 47], "blm": [8, 10, 12, 14, 20, 41, 44, 53], "))": [8, 10, 13, 57, 59, 62], "bool": [8, 10, 20, 21, 23, 25, 31, 41, 44], "if": [8, 10, 14, 20, 21, 23, 25, 31, 41, 42, 44, 47, 50, 59, 62], "returns": [8, 10, 12], "only": [8, 10, 41, 44, 47, 62], "variances": [8, 10], "as": [8, 10, 13, 38, 41, 44, 50, 56, 57, 58, 59, 60, 61, 62], "diagonal": [8, 10, 27], "mean": [8, 10, 12, 13, 14, 16, 20, 21, 25, 31, 33, 38, 41, 44, 47, 56, 57], "function": [8, 12, 20, 23, 25, 27, 31, 37, 38, 41, 42, 44, 47, 50, 53, 57, 62], "post": [8, 20, 41, 44], "xtest": 8, "draws": [8, 10, 12, 14, 20], "samples": [8, 10, 12, 14, 20, 31, 38], "(xtest": 8, "float": [8, 10, 12, 13, 14, 16, 20, 21, 23, 25, 31, 37, 41, 44, 47], "noise": [8, 10, 14, 20, 27, 47], "source": [8, 10, 14, 20, 47], "predict": [8, 20], "from": [8, 21, 23, 35, 38, 41, 44, 50, 54, 57], "initializes": [8, 10, 14], "by": [8, 10, 14, 27, 31, 38, 41, 42, 44, 50, 62], "using": [8, 14, 19, 31, 34, 38, 50, 56], "first": [8, 41, 44, 46, 62], "training": [8, 14, 20, 31, 41, 44, 47, 48, 58], "dataset": [8, 14, 20, 31, 41, 44, 47], "target": [8, 10], "label": [8, 10], "_mu": [8, 10], "updates": [8, 14, 37], "another": 8, "(blm": 10, "auxiaialy": 10, "quick": 10, "will": [10, 14, 37, 41, 44], "be": [10, 14, 20, 23, 25, 27, 29, 31, 37, 38, 41, 42, 44, 50], "updated": [10, 14, 38], "new": [10, 29, 44, 46, 56, 59], "fast": [10, 48, 59], "-update": 10, "(u": [10, 34], "\u30e1\u30e2": [10, 41, 44], "mutated": 10, "while": 10, "others": 10, "not": [10, 14, 16, 20, 29, 30, 31, 41, 44, 47, 59, 62], "_cov": [11, 12, 15, 16, 18, 21, 22, 23, 26, 27], "_prec": [11, 12, 15, 16], "_bias": [11, 12, 13], ".bias": [11, 13], "._": [11, 35, 38], "init": [11, 19, 29, 58, 59, 60], "gaussian": [12, 16, 21, 23, 27, 41, 44, 62], "at": [12, 41, 42, 44, 51, 57, 60, 62], "half": [12, 16], "log": [12, 16, 23, 27], "variance": [12, 14, 16, 21, 31], "nxn": 12, "raw": 12, "precision": [12, 16], "fmean": [12, 27, 48, 56], "means": 12, "sets": [12, 16], "_init": [13, 57, 62], "initial": [13, 19, 41, 44, 56, 61, 62], "parameter": [13, 19, 23, 27, 31, 41, 44, 56, 61, 62], "calculate": [13, 34, 41, 44, 47, 48], "values": [13, 14, 20, 21, 23, 27, 31], "an": [13, 20, 29, 35, 41, 44], "vector": [13, 19, 20, 21, 23, 25, 33, 41, 44, 50, 62], "with": [13, 16, 20, 23, 27, 29, 37, 41, 44], "size": [13, 19, 23, 27, 41, 44], "(default": 13, "np": [13, 31, 41, 44, 56, 57, 58, 59, 60, 61, 62], "config": [14, 19, 20, 31, 35, 38, 41, 44, 56], "configuration": [14, 35], "delete": [14, 31, 38, 50], "resets": 14, "fit": [14, 20, 31, 38], "num": [14, 19, 20, 21, 23, 27, 29, 30, 31, 41, 42, 44, 45, 46, 50, 57, 58, 59, 60, 61, 62], ".num": [14, 31, 59], "test": [14, 31, 41, 44, 47, 48, 57, 59, 62], "-covariance": [14, 16, 21, 31], "already": [14, 31, 37], "trained": [14, 31, 47], "does": [14, 31], "use": [14, 31, 47], "this": [14, 23, 27, 31, 38, 47, 62], "used": [14, 16, 20, 29, 30, 31, 41, 44, 47], "len": [14, 31, 56], "yet": [14, 41, 44], "initialized": [14, 29], "prepared": 14, "otherwise": 14, "initialization": 14, "preparation": 14, ").": [14, 20, 23, 25, 27, 41, 42, 44, 48, 50, 53, 54, 56, 57, 62], "ignore": 14, ".sigma": 15, ".prec": 15, "isotropic": 16, "all": [16, 20, 41, 42, 44, 54], "elements": [16, 19, 23, 27], "have": 16, "same": [16, 41, 44], "are": [16, 41, 44, 47, 50, 62], "independent": [16, 19, 23, 27], "each": [16, 19, 20, 21, 23, 25, 27, 31, 33, 38, 41, 42, 44, 50, 62], "other": 16, "prec": [16, 59], "inv": 16, "computes": 16, "components": 16, "-n": 16, "-basis": 16, "priors": [16, 20, 21], "precise": 16, ".learning": [17, 18], "eval": [17, 19, 20, 24, 25], "_marlik": [17, 18, 19, 20, 24, 25], "_grad": [17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30], ".const": [17, 28, 56], "const": [17, 28, 29], ".zero": [17, 28], "zero": [17, 28, 30, 41, 44, 62], "_one": [18, 19], "_update": [18, 19, 40, 41, 42, 43, 44, 45], ".reset": 18, ".init": [18, 28], ".one": 18, "_run": [18, 19, 40, 41, 42, 43, 44, 45], ".run": [18, 36], ".disp": 18, ".cat": [18, 22], ".decomp": [18, 22], ".eval": 18, ".export": [18, 39, 40, 43, 53, 57, 59, 60, 62], "_blm": [18, 20], "_cand": [18, 20, 22, 23, 26, 27, 28, 29], "_bound": [18, 20, 22, 23, 26, 27, 28, 29], ".print": [18, 22, 56], ".sub": 18, "gp": [19, 21, 25, 53, 56], "optimization": [19, 23, 27, 41, 44, 48, 54, 58, 59, 62], "array": [19, 20, 23, 25, 27, 29, 33, 34, 41, 42, 44, 50, 56, 58, 59, 60], "real": [19, 23, 27], ",)": [19, 23, 27], ", where": [19, 23, 27], "variables": [19, 23, 27, 31, 38, 50], "dimensional": [19, 20, 21, 23, 25, 27, 33, 41, 42, 44, 50], "row": [19, 20, 21, 23, 25, 33, 41, 44, 50, 62], "denotes": [19, 20, 21, 23, 25, 33, 41, 44, 50], "-dimensional": [19, 20, 21, 23, 25, 27, 33, 41, 44, 50], "candidate": [19, 20, 21, 23, 25, 27, 33, 41, 42, 44, 50, 57, 62], "that": [19, 29, 41, 44, 62], "represents": [19, 41, 44, 62], "corresponding": [19, 41, 44, 62], "negative": [19, 20, 23, 25, 27, 41, 42, 44, 50, 62], "energy": [19, 20, 23, 25, 27, 41, 42, 44, 50, 62], "candidates": [19, 29, 62], "reset": 19, "which": [19, 41, 42, 44, 62], "give": 19, "minimum": [19, 23, 27, 29], "marginal": [19, 20, 25, 56, 61], "likelihood": [19, 20, 25, 27, 56, 61], "one": [19, 23, 54], "_iter": 19, "guess": 19, "maximum": [19, 23, 27, 29, 37, 41, 44, 47], "iterations": 19, "perform": [19, 62], "solution": [19, 34], "run": [19, 37, 41, 44], "performing": [19, 41, 44], "-bfgs": 19, "-b": 19, "algorithm": 19, "disp": [19, 44, 49, 59], "_epoch": [19, 36, 37], "displaying": 19, "epochs": 19, "searchs": 19, "gives": 19, "_disp": [19, 41, 44], "false": [19, 21, 23, 35, 41, 44, 46, 49, 56], "hyper": [19, 41, 44, 48, 56, 61, 62], "running": [19, 41, 42, 44], "inf": 20, "'exact": 20, "cat": [20, 21, 23], "concatinate": [20, 23], "about": [20, 35, 41, 44], "decomp": [20, 21, 23], "decomposing": [20, 21], "those": [20, 21], "likelifood": 20, "evaluating": [20, 25], "objective": [20, 23, 25, 27, 41, 42, 44, 46, 50, 59], "optimized": [20, 23, 25, 27, 41, 42, 44, 50], "total": [20, 21, 23, 29, 41, 42, 44, 62], "subset": [20, 50], "specified": [20, 50], "marlik": [20, 25], "export": [20, 41, 42, 45, 46, 62], "exporting": 20, "(baysean": 20, "fitting": [20, 31], "getting": [20, 23, 27, 29, 41, 42, 44, 50], "gradiant": [20, 21, 23, 25], "grad": [20, 23, 25, 37], "boundary": [20, 23, 27, 29], "bound": [20, 23, 27, 29], "min": [20, 23, 27, 29, 56], "list": [20, 23, 27, 29, 41, 44], "calculating": [20, 21, 25, 31], "diagonalization": [20, 21, 23, 25], "datasets": 20, "printing": 20, "setting": [20, 21, 23, 29, 41], "sub": 20, "make": 20, "subx": 20, "subt": 20, "process": [21, 41, 44, 53, 62], "tests": [21, 25], "_data": [21, 27, 29, 30, 41, 43, 44, 56, 58, 60, 61], ".rand": 22, "_expans": [22, 23], ".supp": [22, 26, 28], "_dim": [23, 46], "width": 23, "scale": 23, "ard": [23, 56], "_width": 23, "1e": [23, 27, 60], "_scale": 23, "taking": 23, "logarithm": 23, "them": 23, "into": [23, 41, 44], "ndarray": [23, 56, 57, 62], "decompose": 23, "defined": [23, 29, 30, 38, 41, 44, 47, 62], "on": [23, 46, 54], "region": 23, "covariant": 23, "param": 23, "load": [23, 35, 38, 41, 42, 44, 45, 50, 53, 56, 58, 60, 61], "file": [23, 35, 38, 41, 42, 44, 50, 58], "_name": [23, 35, 38, 44, 50], "recovering": 23, "name": [23, 35, 38, 41, 42, 44, 50], "current": [23, 37, 57, 62], "rand": 23, "expansion": 23, "tupple": [23, 25, 29], "amp": 23, "save": [23, 38, 41, 42, 44, 45, 50, 53, 57], "supp": [23, 27, 29], "when": [23, 27, 41, 44], "greater": [23, 27], "(less": [23, 27], "than": [23, 27], ".trans": 26, "std": [27, 56, 57], "standard": [27, 33], "deviation": [27, 33], "element": 27, "gradient": [27, 37], "adding": [27, 50], "trans": 27, "[params": 27, "].": [27, 59], "constant": 29, "median": 29, "_like": [29, 34], "or": [29, 34, 35, 41, 44, 50], "can": 29, "converted": 29, "holding": 29, "result": [29, 62], "returning": [29, 30, 41], "filled": [29, 41, 42, 44], "ones": 29, "_param": 29, "initializing": [29, 31], "empty": 30, ".zeros": 30, "(num": 30, "status": [31, 38], "must": [31, 38], "overwritten": [31, 38], "args": [31, 37, 38], "kwds": [31, 38], "diagonlization": 31, "flag": 31, "drawing": 31, "tuning": [31, 41, 44, 54], "multiplying": 31, "**": [31, 41, 44, 57, 62], ".random": [31, 40, 41, 43, 44, 56, 57, 58, 59, 60, 62], ".multivariate": [31, 41, 44], "_normal": [31, 41, 44], "normalize": 33, "along": 33, "column": 33, "respectively": 33, "_normalized": 33, "normalized": 33, "scipy": [34, 53, 57, 62], ".linalg": 34, ".solve": 34, "_triangular": 34, "^-": 34, ")-": 34, "triangular": 34, "system": 34, "shape": 34, "return": [34, 35, 56, 57, 58, 59, 60, 61, 62], "matches": 34, "loading": [35, 41, 44, 50], "sectoins": 35, "['": 35, "']": 35, "showing": 35, "'config": 35, ".ini": 35, "objects": 35, ".nparams": 36, ".grad": [36, 37], ".m": 36, ".v": 36, ".epoch": 36, ".max": 36, ".alpha": 36, ".beta": 36, ".gamma": 36, ".epsilon": 36, "optimizer": 37, "nparams": 37, "= f": 37, "'(": 37, "epoch": [37, 56, 61], "done": [37, 56, 61], "beta": 37, "gamma": 37, "epsilon": 37, "kwargs": [37, 47, 48], "passed": 37, "prediction": 38, "pickle": 38, ".dump": [38, 58], "protocol": 38, "version": [38, 54, 62], "dict": 38, "__": [38, 41, 44, 51, 57, 58, 59, 60, 62], ".policy": [39, 40, 43, 57, 58, 59, 60, 61, 62], "policy": [39, 40, 41, 43, 44, 53, 58, 60, 61, 62], ".results": [39, 40, 41, 43, 44, 53, 57, 58, 62], "history": [39, 40, 41, 42, 43, 44, 45, 49, 53, 57, 58, 62], ".divide": 39, "_non": [39, 46], "_dominated": [39, 46], "_region": [39, 46], "_front": [39, 43, 45, 46, 59], "_reference": [39, 46], "_max": [39, 46, 57, 59, 62], "_min": [39, 46, 57, 59, 62], ".volume": [39, 59], "_in": [39, 46, 59], "_dominance": [39, 46, 59], ".bayes": [40, 43, 57, 58, 59, 60, 61, 62], "_history": [40, 41, 44, 58], "_training": [40, 41, 43, 44, 58], "_score": [40, 41, 43, 44, 57], "_seed": [40, 41, 57, 58, 59, 60, 61, 62], ".write": [40, 43, 58], "_all": [40, 42, 53, 56, 57, 59, 60, 62], "_sequence": [40, 42, 53, 57, 60, 62], "_best": [40, 42, 53, 57, 60, 62], "_fx": [40, 42, 53, 57, 60, 62], ".time": [40, 43], "_get": [40, 41, 42, 43, 44, 45], "_action": [40, 41, 42, 43, 44, 45, 53, 57, 60, 62], "_simulator": [40, 41, 42, 43, 44, 45], "_total": [40, 41, 42, 43, 44, 45], "comm": [41, 44, 57], "bayes": [41, 44, 53, 57, 58, 59], "_num": [41, 42, 44, 48, 53, 57, 58, 59, 60, 61, 62], "_probes": [41, 44, 57, 58, 59, 60, 61, 62], "_each": [41, 44, 60], "_probe": [41, 44, 60], "simulator": [41, 42, 44, 49, 53, 55, 61], "'ts": 41, "interval": [41, 44, 49, 57, 58, 59, 60, 61, 62], "_rand": [41, 44, 57, 58, 59, 60, 61, 62], "searching": [41, 44, 56, 61, 62], "messages": [41, 44], "outputted": [41, 44], "callable": [41, 44], "_call": [41, 44, 57, 62], "here": [41, 44], "action": [41, 42, 44, 45, 50, 53, 55, 57, 58, 59, 60, 62], "integer": [41, 44], "index": [41, 44, 50, 57, 62], "aquision": [41, 44, 62], "funciton": [41, 44, 62], "thompson": [41, 44, 47, 53, 54, 57], "available": [41, 44, 47, 54, 62], "you": [41, 44, 62], "performed": [41, 44, 62], "step": [41, 42, 44, 57, 58, 62], "choose": [41, 44, 62], "ordinary": [41, 44, 62], ".history": [41, 44, 53, 57, 58, 62], "xs": [41, 44, 57], "mode": [41, 44, 47, 48], "actions": [41, 42, 44, 58, 61, 62], "parallel": [41, 44], "calcualte": [41, 44], "acquisition": [41, 44, 47], "aquisition": [41, 44], "these": [41, 44], "functions": [41, 44], ".py": [41, 44, 53], "given": [41, 44, 47], ".training": [41, 44, 58], "scores": [41, 44, 47], "mpi": [41, 44, 57], "multi": [41, 44, 54, 59], "variation": [41, 44], "tuned": [41, 44], "(mean": [41, 44], "*alpha": [41, 44], "\u4f8b\u5916": [41, 44, 47], "runtimeerror": [41, 44], "both": [41, 44], "neither": [41, 44], "nor": [41, 44], "searched": [41, 44], "calculated": [41, 44, 61], "it": [41, 44], "assumed": [41, 44], "receives": [41, 44], "ranks": [41, 44], "want": [41, 44, 62], "split": [41, 44], "itself": [41, 44], "merge": [41, 44], "results": [41, 44], "yourself": [41, 44], "files": [41, 44], "stores": [41, 42, 44], "saving": [41, 44, 50], "seed": [41, 62], "write": [41, 42, 44, 45], "time": [41, 42, 44, 45], "writing": [41, 44], "output": [41, 44, 62], "indexes": [41, 42, 44, 50], "dimenstional": [41, 42, 44], "elapsed": [41, 42, 44], "updating": [41, 42, 44], ".g": [41, 42, 44], ".,": [41, 42, 44, 48, 56, 59], "hyperparemters": [41, 42, 44], "next": [41, 42, 44], "fx": [42, 57, 62], "sequence": 42, "(the": 42, "_research": 42, ".)": 42, "best": [42, 53, 57, 60, 62], "_actions": [42, 53, 57, 62], "_runs": [42, 59], "filename": [42, 45], "property": [42, 45], "overwrite": 42, "chosen": [42, 62], "_list": [43, 44, 48, 57, 62], ".new": 43, "_pareto": [43, 44, 45, 49, 59], "_objectives": [44, 45, 46, 59], "_set": [44, 49, 59], "'hvpi": 44, "dom": 46, "_rule": 46, "divide": 46, "force": [46, 59], "_binary": 46, "reference": [46, 48, 52], "non": [46, 59], "-dominated": [46, 59], "points": [46, 59], "sorted": 46, "ascending": 46, "order": 46, "volume": [46, 47, 54], "ref": [46, 59], "dominance": 46, "_ratio": 46, "dtype": 46, "add": [46, 50], "lb": 46, "ub": 46, "lower": [46, 59], "bounds": 46, "upper": 46, "domination": 46, "rule": 46, "maximization": 46, "problem": [46, 59], "fmax": 47, "see": 47, "sec": 47, "materials": [47, 54], "discovery": 47, "june": 47, "pages": [47, 54], "kind": 47, "\"ei": 47, "\",": [47, 56, 57, 59, 61], "= \"": 47, "notimplementederror": 47, "unknown": 47, "fstd": 48, "-volume": 48, "couckuyt": [48, 59], "et": 48, "al": 48, "calculation": [48, 59], "multiobjective": [48, 59], "criteria": [48, 59], "hypervolume": 48, "-based": 48, "reduced": 48, "_candidate": 48, ".x": 50, ".z": 50, ".t": [50, 58, 59, 60], "_row": 50, "deleting": 50, "whose": 50, "deleted": 50, "selected": 50, ".savez": 50, "_compressed": 50, "\u554f\u3044\u5408\u308f\u305b": 51, "\u306b\u304a\u5bc4\u305b\u304f": 51, "\u3060\u3055\u3044": [51, 53, 57], "\u30d0\u30b0": 51, "\u5831\u544a": 51, "github": [51, 53], "issues": 51, "\u53d7\u3051\u4ed8\u3051": 51, "\u65e9\u671f": 51, "\u89e3\u6c7a": 51, "\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3": 51, "\u5f93\u3063": 51, "\u4f7f\u7528": [51, 52, 55, 56, 57, 62], "\u30d0\u30fc\u30b8\u30e7\u30f3": 51, "\u6307\u5b9a": [51, 53, 57, 58, 59, 60], "\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": [51, 52], "\u30aa\u30da\u30ec\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0": 51, "\u30b3\u30f3\u30d1\u30a4\u30e9": 51, "\u60c5\u5831": [51, 57, 60], "\u77e5\u3089": 51, "\u305b\u304f": 51, "\u751f\u3058": 51, "\u5165\u529b": [51, 53, 56, 59, 60], "\u30d5\u30a1\u30a4\u30eb": [51, 53, 57, 58, 61], "\u51fa\u529b": [51, 53, 56, 57], "\u8a18\u8f09": [51, 53, 62], "\u30c8\u30d4\u30c3\u30af": 51, "\u76f8\u8ac7": 51, "\u3057\u3065\u3089\u3044": 51, "\u554f\u3044\u5408\u308f\u305b\u308b": 51, "\u9023\u7d61": 51, "\u30b3\u30f3\u30bf\u30af\u30c8": 51, "\u3057\u3066": [51, 53], "-mail": 51, "-dev": [51, 53], "issp": 51, ".u": 51, "-tokyo": 51, ".ac": 51, ".jp": 51, "(_": 51, "\u5909\u66f4": 51, "\u306f\u3058\u3081": [52, 55], "\u5f15\u7528": 52, "\u30e9\u30a4\u30bb\u30f3\u30b9": 52, "\u57fa\u672c": [52, 55, 59, 60], "\u65b9\u6cd5": [52, 55, 59, 62], "\u6d41\u308c": [52, 58, 61], "\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb": [52, 53, 56, 57, 58, 59, 60, 61, 62], "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6": [52, 53, 55, 57, 61], "\u65e2\u5b58": [52, 55], "\u7d50\u679c": [52, 53, 55, 56], "\u8aad\u307f\u8fbc\u3093": [52, 55], "\u8907\u6570": [52, 53, 55, 57, 59, 62], "\u4e00\u5ea6": [52, 53, 55, 57, 62], "\u591a\u76ee": [52, 55], "\u6700\u9069": [52, 53, 54, 55, 56, 58, 60, 61], "\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0": [52, 53, 54], "\u30d9\u30a4\u30ba": [52, 53, 54, 55, 56, 58, 60, 61], "\u306b\u3088\u308b": [52, 53, 54, 55, 57, 58], "\u9ad8\u901f": [52, 54], "api": [52, 53, 59], "\u8b1d\u8f9e": 52, "\u304a\u554f\u3044": 52, "\u5408\u308f": 52, "\u901a\u308a": [53, 54], "python": [53, 54], "pypi": 53, "\u63a8\u5968": 53, "pip": 53, "install": 53, "\u4f9d\u5b58": [53, 57], "\u540c\u6642": 53, "-user": 53, "\u30aa\u30d7\u30b7\u30e7\u30f3": 53, "\u30e6\u30fc\u30b6": 53, "\u30db\u30fc\u30e0\u30c7\u30a3\u30ec\u30af\u30c8\u30ea": 53, "user": 53, "\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9": [53, 54], "\u5411\u3051": 53, "\u672c\u4f53": 53, "\u30bd\u30fc\u30b9\u30d5\u30a1\u30a4\u30eb": 53, "\u30ec\u30dd\u30b8\u30c8\u30ea": 53, "\u30af\u30ed\u30fc\u30f3": 53, "git": 53, "clone": 53, "https": [53, 54], ":/": [53, 54], ".com": [53, 54], "/issp": 53, "-center": 53, "/physbo": 53, "\u4ee5\u4e0a": [53, 57, 60], "``": 53, "\u5165\u3063": 53, "ensurepip": 53, "cd": 53, "\u30b3\u30de\u30f3\u30c9": 53, "uninstall": 53, "\u69cb\u6210": 53, "\u307e\u3067": [53, 57, 58, 60, 61, 62], "\u8868\u793a": [53, 57, 58, 59], ")\u3002": [53, 57, 62], "\u30e2\u30b8\u30e5\u30fc\u30eb": 53, "\u4f5c\u6210": 53, ":baysean": 53, ":gaussian": 53, "opt": 53, "\u6700\u9069\u89e3": 53, ":predictor": 53, "\u62bd\u8c61": 53, "\u30af\u30e9\u30b9": [53, 55], ":physbo": 53, "misc": 53, "\u6b63\u898f": 53, "\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9": 53, "\u53c2\u8003": [53, 59], "\u9069\u3057": [53, 58], "\u624b\u9806": [53, 56, 57], "\u305d\u308c\u305e\u308c": [53, 59], "\u30d1\u30e9\u30e1\u30fc\u30bf\u30bb\u30c3\u30c8": 53, "\u5168\u3066": [53, 61, 62], "\u304a\u304f": [53, 56], "\u5404\u63a2": [53, 60], "\u7d22\u5019": 53, "\u4e0e\u3048\u308b": 53, "\u3002physbo": 53, "\u65b9\u5411": 53, "\u6700\u5c0f\u5316": 53, "\u8fd4\u3059\u5024": 53, "\u30de\u30a4\u30ca\u30b9": 53, "\u304b\u3051\u308b": 53, "\u6700\u9069\u5316": [53, 55], "\u6700\u521d": [53, 57, 62], "\u30bb\u30c3\u30c8": [53, 58, 60, 61], "\u5f15\u6570": [53, 57, 60], "\u6e21\u3055": 53, "\u5316\u65b9": 53, "\u9078\u629e": [53, 57, 59], "\u30e9\u30f3\u30c0\u30e0": [53, 56, 59, 61, 62], "\u63a2\u3057": 53, "\u524d\u51e6": 53, "(acquisition": [53, 57], "\u7a2e\u985e": 53, "\u306e\u3044": [53, 57, 59], "\u305a\u308c": [53, 57, 59], "):": [53, 57, 59], "\uff11\u3064": 53, "\u73fe\u72b6": 53, "\u5404\u624b": 53, "\u4e0b\u3055\u3044": [53, 54], "\u30e1\u30bd\u30c3\u30c9": [53, 57, 59], "\u5148\u307b\u3069": [53, 57], "\u30eb\u30fc\u30d7": [53, 57], "\u56de\u308a": [53, 57], "ii": [53, 57], "\u8fd4\u3055": [53, 57], "\u30c7\u30d5\u30a9\u30eb\u30c8": [53, 57], "1\u3064": [53, 57], "\u8fd4\u3059": [53, 57, 60], "\u8a73\u3057\u304f": [53, 57], "\u9805\u76ee": [53, 57], "\u4e0a\u8a18": [53, 57, 59], "\u56de\u3059": [53, 57], "\u306a\u304f": [53, 57, 60], "\u5225\u500b": [53, 57], "\u5916\u90e8": [53, 57, 58, 61], "\u5236\u5fa1": [53, 57, 58], "\u63d0\u6848": [53, 57, 58], "\u4f55\u3089\u304b": [53, 57], "\u6570\u5024": [53, 57], "\uff09\u3001": [53, 57, 58], "\u767b\u9332": [53, 55, 56, 57, 58], "\u78ba\u8a8d": [53, 55], "res": [53, 57, 59, 60, 62], "\u30aa\u30d6\u30b8\u30a7\u30af\u30c8": [53, 57, 58], ".fx": [53, 57, 59, 60, 62], "\u5c65\u6b74": [53, 57, 58, 59, 60, 62], ".chosen": [53, 57, 62], "id": [53, 55, 56, 57, 58, 59, 60], "fbest": [53, 57, 62], "\u30bf\u30a4\u30df\u30f3\u30b0": [53, 57], "\u30d9\u30b9\u30c8": [53, 57, 60], ".total": [53, 57, 60, 62], "\u30c8\u30fc\u30bf\u30eb": [53, 57], "\u4fdd\u5b58": [53, 56, 57, 58, 60, 61], "\u30ed\u30fc\u30c9": [53, 57, 58], "\u3054\u89a7\u304f": 53, "(optimization": 54, "tool": 54, "physics": 54, "based": 54, "\u30b9\u30b1\u30fc\u30e9\u30d6\u30eb": 54, "\u30e9\u30a4\u30d6\u30e9\u30ea": 54, "combo": [54, 62], "(common": 54, "baysian": 54, "\u3082\u3068": [54, 62], "\u5206\u91ce": 54, "\u30bf\u30fc\u30b2\u30c3\u30c8": 54, "\u7269\u7406": 54, "\u5316\u5b66": 54, "\u99c6\u52d5": 54, "\u8a08\u753b": 54, "\u306b\u3088\u3063\u3066": 54, "\u79d1\u5b66": 54, "\u767a\u898b": 54, "\u52a0\u901f": 54, "\u8a66\u307f": 54, "\u591a\u304f": [54, 59], "\u884c\u308f": [54, 57], "\u6709\u52b9": [54, 57], "\u30c4\u30fc\u30eb": 54, "\u4e00\u65b9": 54, "\u9ad8\u304f": 54, "scikit": 54, "-learn": 54, "\u30b9\u30bf\u30f3\u30c0\u30fc\u30c9": 54, "\u5b9f\u88c5": [54, 59], "\u6271\u3046": 54, "\u56f0\u96e3": 54, "\u7279\u5fb4": 54, "\u9ad8\u3044": 54, "\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3": 54, "-rank": 54, "cholesky": 54, "automatic": 54, "hyperparameter": 54, "yuichi": 54, "motoyama": 54, "ryo": 54, "tamura": 54, "kazuyoshi": 54, "yoshimi": 54, "kei": 54, "terayama": 54, "tsuyoshi": 54, "ueno": 54, "koji": 54, "tsuda": [54, 56], "computer": 54, "communications": 54, "september": 54, "www": 54, ".sciencedirect": 54, "/science": 54, "/article": 54, "/pii": 54, "/s": [54, 56, 58, 60, 61], "via": 54, "3dihub": 54, "(open": 54, "access": 54, "bibtex": 54, "@misc": 54, "{@": 54, "article": 54, "{motoyama": 54, "title": 54, "journal": [54, 59], "year": 54, "issn": 54, "doi": 54, ".org": 54, ".cpc": 54, "author": 54, "keywords": 54, "-objective": [54, 59], "screening": 54, "effective": 54, "estimation": 54, "ver": 54, "\u7530\u6751": 54, "\u7269\u8cea": 54, "\u6a5f\u69cb": 54, "\u56fd\u969b": 54, "\u30ca\u30ce\u30a2\u30fc\u30ad\u30c6\u30af\u30c8\u30cb\u30af\u30b9": 54, "\u62e0\u70b9": 54, "\u5bfa\u5c71": 54, "\u6a2a\u6d5c": 54, "\u5e02\u7acb": 54, "\u5927\u5b66\u9662": 54, "\u751f\u547d": 54, "\u533b\u79d1": 54, "\u5b66\u7814": 54, "\u7a76\u79d1": 54, "\u6d25\u7530": 54, "\u5b8f\u6cbb": 54, "\u6771\u4eac\u5927\u5b66\u5927": 54, "\u5b66\u9662": 54, "\u65b0\u9818": 54, "\u57df\u5275": 54, "\u6210\u79d1": 54, "\u690d\u91ce": 54, "\u682a\u5f0f": 54, "\u4f1a\u793e": 54, "magne": 54, "-max": 54, "capital": 54, "management": 54, "\u672c\u5c71": 54, "\u88d5\u4e00": 54, "\u7814\u7a76\u6240": 54, "\u5409\u898b": 54, "\u4e00\u6176": 54, "\u5ddd\u5cf6": 54, "\u76f4\u8f1d": 54, "\u30d7\u30ed\u30b0\u30e9\u30e0\u30d1\u30c3\u30b1\u30fc\u30b8": 54, "\u4e00\u5f0f": 54, "gnu": 54, "general": 54, "public": 54, "license": 54, "gpl": 54, "\u6e96\u3058": 54, "\u914d\u5e03": 54, "copyright": 54, "->": 54, "university": 54, "tokyo": 54, "rights": 54, "reserved": 54, "\u3092\u901a\u3057": 55, "\u6e96\u5099": 55, "\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba": 55, "\u4e26\u5217\u5316": 55, "\u8a13\u7df4\u6e08": 55, "\u4e2d\u65ad": 55, "\u518d\u958b": 55, "\u4e8b\u524d": [55, 56, 62], "\u53d6\u5f97": 55, "\u30c6\u30b9\u30c8": 55, "\u30d7\u30ed\u30c3\u30c8": [55, 57], "\u4ed8\u9332": 55, "\u5168\u63a2": 55, "\u306a\u304c\u3089": 56, "\u884c\u306a\u3063": 56, "\u6e08\u307f": 56, "\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf": 56, "\u4f8b\u3068\u3057\u3066": [56, 57], "cu": 56, "\u5b89\u5b9a": 56, "\u754c\u9762": 56, "\u6271\u3044": 56, "\u3042\u305f\u308b": 56, "\u7de9\u548c": 56, "\u3042\u305f\u308a": 56, "\u3068\u3044\u3063": [56, 61], "\u30aa\u30fc\u30c0\u30fc": 56, "\u8981\u3057": 56, "kiyohara": 56, "oda": 56, "mizoguchi": 56, "acceleration": 56, "stable": 56, "interface": 56, "structure": 56, "kriging": 56, "approach": 56, "\u201d,": 56, "jpn": 56, "appl": 56, "phys": 56, "\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30d5\u30a1\u30a4\u30eb": [56, 58, 60, 61], "csv": [56, 58, 60, 61], "\u30c7\u30a3\u30ec\u30af\u30c8\u30ea": [56, 58, 60, 61], "\u8aad\u307f\u51fa\u3057": [56, 58, 60, 61], "[1": [56, 57, 58, 59, 60, 61], "]:": [56, 57, 58, 59, 60, 61, 62], "import": [56, 57, 58, 59, 60, 61, 62], "def": [56, 57, 58, 59, 60, 61, 62], ".asarray": [56, 58, 60, 61], "(np": [56, 57, 58, 59, 60, 61, 62], ".loadtxt": [56, 58, 60, 61], "('": [56, 57, 58, 59, 60, 61], "',": [56, 57, 58, 59, 60, 61, 62], "skiprows": [56, 58, 60, 61], "delimiter": [56, 58, 60, 61], "='": [56, 57, 58, 59, 60, 61, 62], ",')": [56, 58, 60, 61], "[:": [56, 57, 58, 59, 60, 61], "= -": [56, 58, 60, 61], "\u5bfe\u8c61": 56, "\u9078\u3093": [56, 57, 62], "\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf": [56, 62], "[2": [56, 57, 58, 59, 60, 61], "(t": [56, 61], "ntrain": 56, "(n": [56, 59], "ntest": 56, "(int": 56, "-ntrain": 56, ".choice": 56, "replace": 56, "=false": 56, "_train": 56, "_test": 56, "[ntrain": 56, ":ntrain": 56, "+ntest": 56, "[id": 56, "(\"": [56, 59], "\uff09,": 56, "\u306b\u5bfe\u3059\u308b": [56, 57, 58], "\u5171\u5206\u6563": 56, "\u30ac\u30a6\u30b7\u30a2\u30f3": 56, "[3": [56, 57, 58, 59, 60, 61], ".shape": [56, 59], "],": [56, 59], "[4": [56, 57, 59, 60, 61], "\u5c24\u5ea6": 56, "[5": [56, 58, 59], "[6": [56, 59, 60], "(lik": 56, "=lik": 56, "=mean": 56, "=cov": 56, "[7": [56, 57, 59, 60], "start": [56, 61], "..": [56, 59, 61], "th": [56, 57, 58, 61], "\u30d1\u30e9\u30e1\u30bf": 56, "[8": [56, 57, 59, 60], "[9": [56, 57, 59], "fcov": 56, "10": [56, 57, 59], "([": [56, 59, 60], "11": [56, 57], "])": [56, 57, 59, 60, 61, 62], "\u4e88\u6e2c\u5024": 56, "\u4e8c\u4e57": 56, "\u8aa4\u5dee": 56, "12": [56, 57], "((": [56, 59], "-t": 56, ")*": 56, "\u5b66\u7fd2\u6e08": 56, "\u8a18\u61b6": 56, "\u8a13\u7df4": 56, "\u76f4\u5f8c": 56, "13": [56, 57], "\u5143\u914d": 56, ".append": [56, 57, 62], "(gp": 56, "\u540c\u69d8": [56, 58, 60, 61], "14": [56, 57, 59], "\u5171\u5206": 56, "15": [56, 57, 59], "16": [56, 57, 59], "17": [56, 59], "18": 56, "(\u6ce8": 56, "\u540c\u3058": [56, 60, 62], "\u3082\u306e": [56, 57, 59, 62], "\u542b\u307e": 56, "_new": 56, "\u30c7\u30fc\u30bfx": 56, "\u6a19\u6e96": 56, "\u504f\u5dee": 56, "\u6c42\u3081": [56, 59], "\u305f\u3060\u3044": 56, "\u305f\u3046\u3048": 56, "= (": 56, "- x": 56, "\u5909\u5f62": [56, 57, 62], "\u6e21\u3059\u969b": 56, "\u5f62\u5f0f": [56, 57, 62], "\u5909\u63db": 56, "\u5b9f\u6570": 56, ".array": [56, 57, 59, 60, 62], "reshape": [56, 57, 59, 62], "\u4e00\u6b21\u5143": [57, 62], "\u6700\u5c0f\u5024": [57, 59, 62], "\u6c42\u3081\u308b": [57, 59, 62], "\u4f8b\u984c": [57, 62], "\u89e3\u304d": 57, "\u30a4\u30f3\u30dd\u30fc\u30c8": 57, "window": [57, 62], "\u5206\u5272": [57, 62], "\u523b\u3093": [57, 62], "\u30b0\u30ea\u30c3\u30c9": [57, 59, 62], "\u306a\u304a": [57, 62], "#in": [57, 62], "itertools": [57, 59, 62], "create": [57, 62], ".linspace": [57, 59, 62], "(window": [57, 62], "\u4eca\u56de": [57, 60, 62], "\u6700\u5c0f": [57, 62], "\u7b54\u3048": [57, 62], "=-": [57, 59, 62], "\u53d6\u308a\u51fa\u3059": [57, 62], "\u756a\u53f7": [57, 62], "\u304a\u308a": [57, 62], "\u53d6\u3063": [57, 62], "\u306e\u307f": [57, 62], "_idx": [57, 62], "=action": [57, 62], "\u4ed5\u69d8": [57, 62], "\u304b\u3051": [57, 62], "\u8fd4\u3057": [57, 62], "declare": [57, 62], "calling": [57, 62], "call": [57, 58, 59, 60, 62], "[action": [57, 58, 59, 60, 62], "][": [57, 62], "(fx": [57, 62], "\"*": [57, 62], "\")": [57, 59, 62], "present": [57, 62], "optimum": [57, 62], "interactions": [57, 62], "_opt": [57, 62], "=\"": [57, 59, 61, 62], ", x": [57, 62], "[np": [57, 62], ".argmin": [57, 62], "(test": [57, 58, 59, 60, 61, 62], "=x": [57, 58, 60, 61, 62], "\u30b7\u30fc\u30c9": [57, 58, 60, 61], "\u307e\u305b": 57, "\u3067\u8fd4\u3055": 57, "\u521d\u3081": 57, "\u307f\u307e\u3057\u3087": [57, 59], "2\u3064": [57, 60], "\u6c42\u307e\u3063": [57, 59], "\u5909\u308f\u308a": 57, "\u30b7\u30df\u30e5\u30ec\u30fc\u30bf": 57, "=[": [57, 59, 61, 62], "]\nx": [57, 62], "(max": [57, 58, 59, 60, 61, 62], "=simulator": [57, 60, 62], "\u7d9a\u3044": 57, "\u30bf\u30a4\u30d7": 57, "\u30a4\u30f3\u30bf\u30fc\u30d0\u30eb": 57, "\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf": 57, "\u57fa\u5e95": 57, "\u901a\u5e38": [57, 59], ", score": [57, 60, 62], "\u63a8\u79fb": 57, "\u306f\u305d\u308c\u305e\u308c": [57, 59], "\u7bc4\u56f2": 57, "matplotlib": [57, 59, 60, 62], ".pyplot": [57, 59, 60, 62], "plt": [57, 59, 60, 62], "inline": [57, 59, 60], ".plot": [57, 59, 60, 62], "(res": [57, 59, 60, 62], "[&": [57, 60], "lt": [57, 60], ";matplotlib": [57, 60], ".lines": [57, 60], ".line": [57, 60], "2d": [57, 60], "0x": [57, 60], "7ff": 57, "0d": 57, "gt": [57, 60], ";]": [57, 60], "(best": [57, 60, 62], "0ff": 57, "_result": 57, ".npz": [57, 58], "del": [57, 58], "\u6700\u5f8c": [57, 62], "\u4e00\u756a": [57, 62], "\u6b63\u3057\u3044": [57, 62], "\u884c\u304d\u7740\u3044": [57, 62], "[int": [57, 62], "[-": [57, 59, 62], "var": 57, ".sqrt": [57, 59], "(var": 57, "fig": 57, "ax": 57, ".subplots": 57, ".fill": 57, "_between": 57, "-std": 57, "+std": 57, "color": 57, "=.": 57, "<": 57, ".collections": 57, ".polycollection": 57, "adc": 57, "3d": 57, "(mode": 57, "(score": 57, "\u5168\u5019": 57, "\u88dc\u70b9": 57, "\u4e26\u5217": 57, "\u5316\u51fa": 57, "4py": 57, "\u30b3\u30f3\u30b9\u30c8\u30e9\u30af\u30bf": 57, "\u30ad\u30fc\u30ef\u30fc\u30c9": 57, "\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30bf": 57, "\u3068\u3048": 57, ".comm": 57, "_world": 57, "\u6e21\u3057": 57, "=test": [57, 59], "=mpi": 57, "\u8a55\u4fa1\u5024": 58, "\u4eba\u624b": 58, "\u67d4\u8edf": 58, "_,": [58, 60], "\u51e6\u7406": 58, "=none": [58, 61], "\u5f97\u308b": [58, 61], "(actions": [58, 61], "\u30e9\u30f3\u30c0\u30e0\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0": [58, 59], "1st": 58, "2nd": 58, "steps": [58, 62], "\uff12\u56de": 58, "3rd": 58, "4th": 58, "''": 58, "(policy": 58, "\u9014\u4e2d": 58, "\u5316\u5b9f": 58, "(file": 58, "\u524a\u9664": 58, "-th": 58, "\u500b\u5225": 58, "=policy": 58, "\u304a\u3053": 59, "(y": 59, "dots": 59, "_p": 59, "\u610f\u5473": 59, "\u5927\u5c0f": 59, "\\prec": 59, "'}\\": 59, "longleftrightarrow": 59, "forall": 59, "le": 59, "'}_": 59, "land": 59, "exists": 59, "_j": 59, "\u5316\u554f": 59, "\u81ea\u8eab": 59, "\u6307\u3057": 59, "\u306a\u308f\u3061": 59, "\u3057\u3088": 59, "\u3046\u3061\u3069\u308c": 59, "\u304b\u3072": 59, "\u3068\u3064": 59, "\u60aa\u5316": 59, "\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5": 59, "\u5b58\u5728": 59, "\u305d\u308c\u3089": 59, "\u52b9\u7387": 59, "\u8ab2\u984c": 59, "\u5316\u624b": 59, "\u30d9\u30f3\u30c1\u30de\u30fc\u30af": 59, "vlmop": 59, "\\begin": 59, "{split": 59, "vec": 59, "\\left": 59, "sum": 59, "/\\": 59, "_n": 59, "\u3068\u3082": 59, "\u3002\u307e\u305f": 59, "\u4e0a\u754c": 59, "\u4eee\u5b9a": 59, "\u3001-": 59, "\u639b\u3051": 59, "\u3042\u3089": 59, "\u3057\u307e\u3059": 59, "van": 59, "veldhuizen": 59, "david": 59, "evolutionary": 59, "algorithms": 59, "classifications": 59, "analyses": 59, "innovations": 59, "no": 59, "afit": 59, "/ds": 59, "/eng": 59, "air": 59, "inst": 59, "tech": 59, "wright": 59, "-pattersonafb": 59, "oh": 59, "school": 59, "engineering": 59, "minus": 59, "y1": 59, ".exp": 59, "(-": 59, ".sum": 59, "axis": 59, "y2": 59, ".c": 59, "_[": 59, "\\vec": 59, "\u3001[": 59, "(list": 59, "(itertools": 59, ".product": 59, "(a": 59, "(object": 59, "simu": 59, "\u53f3\u4e0a": 59, "\u30d4\u30fc\u30af": 59, "\u5de6\u4e0b": 59, "\u4f4d\u7f6e": 59, ".figure": 59, ".imshow": 59, "(simu": 59, ", vmin": 59, "vmax": 59, "origin": 59, "extent": 59, ".title": 59, ".colorbar": 59, ")]": 59, ", '": 59, "*'": 59, "plot": 59, ", [": 59, "\u5316\u7528": 59, "\u540c\u3058\u304f": 59, "\u547c\u3076": 59, "discrete": 59, "\u3068\u304a\u304a\u3088": 59, "\u5171\u901a": 59, "_random": 59, "=simu": 59, "\u3068\u305d\u306e": [59, 61], "\u89e3\u96c6\u5408": 59, "\u30e1\u30c3\u30bb\u30fc\u30b8": 59, "\u4e2d\u8eab": 59, "=true": 59, "\u6607\u9806": 59, "\u30bd\u30fc\u30c8": 59, "##": 59, "front": 59, "(array": 59, "]]": [59, 61], "\u4ee5\u964d": 59, "\u56f3\u793a": 59, "\u3067\u3042\u308a": 59, "[i": 59, "range": 59, "[dominated": 59, ":]": 59, "(figsize": 59, "=(": 59, ".scatter": 59, "blue": 59, "(front": 59, "red": 59, ".xlabel": 59, ".ylabel": 59, ".xlim": 59, ".ylim": 59, "\u3059\u306a\u308f\u3061": 59, "\u81ea\u3089\u3088\u308a": 59, "\u512a\u308c": 59, "\u547c\u3073": 59, "\\exists": 59, "\u89e3\u7a7a\u9593": 59, "\u90e8\u5206": 59, "\u306e\u3046\u3061": 59, "\u5360\u3081\u308b": 59, "\u793a\u3059": 59, "\u6307\u6a19": 59, "\u3072\u3068\u3064": 59, "\u5927\u304d\u3044": 59, "\u307b\u3069": 59, "(ref": 59, "\u77e9\u5f62": 59, "(hyper": 59, "-rectangle": 59, "-1": 59, ",[": 59, "\u5909\u3048": 59, "\u591a\u6b21\u5143": 59, "\u975e\u52a3": 59, "\u89e3\u9818": 59, "ivo": 59, "dirk": 59, "deschrijver": 59, "tom": 59, "dhaene": 59, ".\u300d": 59, "global": 59, "_hvpi": 59, "\u6bd4\u8f03": 59, "\u5206\u304b\u308a": 59, "19": 59, "_ehvi": 59, "\u5358\u76ee": 59, "\u5404\u5019": 59, "\u63a8\u85a6": 59, "\u30d1\u30ec\u30fc\u30c8\u30eb\u30fc\u30eb": 59, "\u3064\u307e\u308a": 59, "yahyaa": 59, "saba": 59, "bernard": 59, "manderick": 59, "-armed": 59, "bandits": 59, "proc": 59, "eur": 59, "symp": 59, "artif": 59, "netw": 59, "comput": 59, "intell": 59, "mach": 59, "learn": 59, "_ts": 59, "\u6e21\u3059": 59, "\u624b\u8efd": 59, "\u6e1b\u3089": 59, "\u304a\u304d": 59, "_sparse": 59, "repeat": 59, "=n": 59, "\u5f8c\u8ff0": 60, "\u306b\u5bfe\u5fdc": 60, "\u30ea\u30b9\u30c8": [60, 61], "\u7559\u610f": 60, "sim": 60, "\u4e0b\u8a18": 60, "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1": 60, "80": 60, "7fe": 60, "7fdc": 60, "\u5f97\u3089\u308c": 60, "\u9055\u3044": 60, "\u5408\u8a08": 60, "\u8a55\u4fa1\u6570": 60, "\u8aad\u307f\u8fbc\u307f": 61, "\u8aad\u307f\u8fbc\u3080": 61, "\u5236\u9650": 61, "\u305a\u3063\u3068": 61, "\u958b\u3044": 61, "\u305f\u307e\u307e": 61, "\u4e0a\u8ff0": 61, "\u683c\u7d0d": 61, "actoin": 61, ".seed": 61, "_ids": 61, ".sample": 61, "(range": 61, ".size": 61, "(calculated": 61, "_initial": 61, "[calculated": 61, "[actions": 61, "73": 61, "[[": 61, "\u518d\u3073": 61, "\u9032\u3081\u308b": 61, "\u98db\u3070\u3059": 62, "]\n#": 62, "design": 62, "declaring": 62, "represented": 62, "before": 62, "starting": 62, ".discreate": 62, "\u5b9f\u65bd": 62, "single": 62, "query": 62, "above": 62, "timing": 62, "case": 62, "learned": 62, "runs": 62, "\u307f\u305f\u3044": 62, "\u547c\u3073\u51fa\u3059": 62, "\u30b5\u30f3\u30d7\u30eb\u30b9\u30af\u30ea\u30d7\u30c8": 62, "summarized": 62, "observed": 62, "choosed": 62, "has": 62, "been": 62, "until": 62}, "objects": {"": [[3, 0, 0, "-", "physbo"]], "physbo": [[4, 0, 0, "-", "blm"], [17, 0, 0, "-", "gp"], [32, 0, 0, "-", "misc"], [36, 0, 0, "-", "opt"], [38, 0, 0, "-", "predictor"], [39, 0, 0, "-", "search"], [50, 0, 0, "-", "variable"]], "physbo.blm": [[5, 0, 0, "-", "basis"], [7, 0, 0, "-", "core"], [9, 0, 0, "-", "inf"], [11, 0, 0, "-", "lik"], [14, 0, 0, "-", "predictor"], [15, 0, 0, "-", "prior"]], "physbo.blm.basis": [[6, 0, 0, "-", "fourier"]], "physbo.blm.basis.fourier": [[6, 1, 1, "", "fourier"]], "physbo.blm.basis.fourier.fourier": [[6, 2, 1, "", "get_basis"], [6, 3, 1, "", "nbasis"], [6, 3, 1, "", "params"], [6, 2, 1, "", "set_params"], [6, 2, 1, "", "show"]], "physbo.blm.core": [[8, 0, 0, "-", "model"]], "physbo.blm.core.model": [[8, 1, 1, "", "model"]], "physbo.blm.core.model.model": [[8, 2, 1, "", "get_post_fcov"], [8, 2, 1, "", "get_post_fmean"], [8, 2, 1, "", "get_post_params_mean"], [8, 3, 1, "", "lik"], [8, 3, 1, "", "method"], [8, 3, 1, "", "nbasis"], [8, 2, 1, "", "post_sampling"], [8, 2, 1, "", "predict_sampling"], [8, 2, 1, "", "prepare"], [8, 3, 1, "", "prior"], [8, 2, 1, "", "sampling"], [8, 3, 1, "", "stats"], [8, 2, 1, "", "update_stats"]], "physbo.blm.inf": [[10, 0, 0, "-", "exact"]], "physbo.blm.inf.exact": [[10, 4, 1, "", "get_post_fcov"], [10, 4, 1, "", "get_post_fmean"], [10, 4, 1, "", "get_post_params_mean"], [10, 4, 1, "", "prepare"], [10, 4, 1, "", "sampling"], [10, 4, 1, "", "update_stats"]], "physbo.blm.lik": [[12, 0, 0, "-", "gauss"], [13, 0, 0, "-", "linear"]], "physbo.blm.lik.gauss": [[12, 1, 1, "", "gauss"]], "physbo.blm.lik.gauss.gauss": [[12, 3, 1, "", "cov"], [12, 2, 1, "", "get_basis"], [12, 2, 1, "", "get_cov"], [12, 2, 1, "", "get_mean"], [12, 2, 1, "", "get_prec"], [12, 3, 1, "", "linear"], [12, 2, 1, "", "sampling"], [12, 2, 1, "", "set_bias"], [12, 2, 1, "", "set_params"], [12, 3, 1, "", "stats"]], "physbo.blm.lik.linear": [[13, 1, 1, "", "linear"]], "physbo.blm.lik.linear.linear": [[13, 3, 1, "", "_init_params"], [13, 3, 1, "", "basis"], [13, 3, 1, "", "bias"], [13, 2, 1, "", "get_mean"], [13, 3, 1, "", "nbasis"], [13, 3, 1, "", "params"], [13, 2, 1, "", "set_bias"], [13, 2, 1, "", "set_params"]], "physbo.blm.predictor": [[14, 1, 1, "", "predictor"]], "physbo.blm.predictor.predictor": [[14, 3, 1, "", "blm"], [14, 3, 1, "", "config"], [14, 2, 1, "", "delete_stats"], [14, 2, 1, "", "fit"], [14, 2, 1, "", "get_basis"], [14, 2, 1, "", "get_post_fcov"], [14, 2, 1, "", "get_post_fmean"], [14, 2, 1, "", "get_post_params"], [14, 2, 1, "", "get_post_samples"], [14, 2, 1, "", "get_predict_samples"], [14, 2, 1, "", "prepare"], [14, 2, 1, "", "update"]], "physbo.blm.prior": [[16, 0, 0, "-", "gauss"]], "physbo.blm.prior.gauss": [[16, 1, 1, "", "cov_const"], [16, 1, 1, "", "gauss"]], "physbo.blm.prior.gauss.cov_const": [[16, 2, 1, "", "get_cov"], [16, 2, 1, "", "get_prec"], [16, 3, 1, "", "params"], [16, 3, 1, "", "prec"], [16, 2, 1, "", "set_params"], [16, 3, 1, "", "sigma2"]], "physbo.blm.prior.gauss.gauss": [[16, 3, 1, "", "cov"], [16, 2, 1, "", "get_cov"], [16, 2, 1, "", "get_mean"], [16, 2, 1, "", "get_prec"], [16, 3, 1, "", "nbasis"], [16, 2, 1, "", "set_params"]], "physbo.gp": [[18, 0, 0, "-", "core"], [22, 0, 0, "-", "cov"], [24, 0, 0, "-", "inf"], [26, 0, 0, "-", "lik"], [28, 0, 0, "-", "mean"], [31, 0, 0, "-", "predictor"]], "physbo.gp.core": [[19, 0, 0, "-", "learning"], [20, 0, 0, "-", "model"], [21, 0, 0, "-", "prior"]], "physbo.gp.core.learning": [[19, 1, 1, "", "adam"], [19, 1, 1, "", "batch"], [19, 1, 1, "", "online"]], "physbo.gp.core.learning.adam": [[19, 2, 1, "", "get_one_update"], [19, 2, 1, "", "reset"]], "physbo.gp.core.learning.batch": [[19, 2, 1, "", "init_params_search"], [19, 2, 1, "", "one_run"], [19, 2, 1, "", "run"]], "physbo.gp.core.learning.online": [[19, 2, 1, "", "disp_marlik"], [19, 2, 1, "", "get_one_update"], [19, 2, 1, "", "init_params_search"], [19, 2, 1, "", "one_run"], [19, 2, 1, "", "run"]], "physbo.gp.core.model": [[20, 1, 1, "", "model"]], "physbo.gp.core.model.model": [[20, 2, 1, "", "cat_params"], [20, 2, 1, "", "decomp_params"], [20, 2, 1, "", "eval_marlik"], [20, 2, 1, "", "export_blm"], [20, 2, 1, "", "fit"], [20, 2, 1, "", "get_cand_params"], [20, 2, 1, "", "get_grad_marlik"], [20, 2, 1, "", "get_params_bound"], [20, 2, 1, "", "get_post_fcov"], [20, 2, 1, "", "get_post_fmean"], [20, 2, 1, "", "post_sampling"], [20, 2, 1, "", "predict_sampling"], [20, 2, 1, "", "prepare"], [20, 2, 1, "", "print_params"], [20, 2, 1, "", "set_params"], [20, 2, 1, "", "sub_sampling"]], "physbo.gp.core.prior": [[21, 1, 1, "", "prior"]], "physbo.gp.core.prior.prior": [[21, 2, 1, "", "cat_params"], [21, 2, 1, "", "decomp_params"], [21, 2, 1, "", "get_cov"], [21, 2, 1, "", "get_grad_cov"], [21, 2, 1, "", "get_grad_mean"], [21, 2, 1, "", "get_mean"], [21, 2, 1, "", "sampling"], [21, 2, 1, "", "set_cov_params"], [21, 2, 1, "", "set_mean_params"], [21, 2, 1, "", "set_params"]], "physbo.gp.cov": [[23, 0, 0, "-", "gauss"]], "physbo.gp.cov.gauss": [[23, 1, 1, "", "gauss"]], "physbo.gp.cov.gauss.gauss": [[23, 2, 1, "", "cat_params"], [23, 2, 1, "", "decomp_params"], [23, 2, 1, "", "get_cand_params"], [23, 2, 1, "", "get_cov"], [23, 2, 1, "", "get_grad"], [23, 2, 1, "", "get_params_bound"], [23, 2, 1, "", "load"], [23, 2, 1, "", "prepare"], [23, 2, 1, "", "print_params"], [23, 2, 1, "", "rand_expans"], [23, 2, 1, "", "save"], [23, 2, 1, "", "set_params"], [23, 2, 1, "", "supp_params"]], "physbo.gp.inf": [[25, 0, 0, "-", "exact"]], "physbo.gp.inf.exact": [[25, 4, 1, "", "eval_marlik"], [25, 4, 1, "", "get_grad_marlik"], [25, 4, 1, "", "get_post_fcov"], [25, 4, 1, "", "get_post_fmean"], [25, 4, 1, "", "prepare"]], "physbo.gp.lik": [[27, 0, 0, "-", "gauss"]], "physbo.gp.lik.gauss": [[27, 1, 1, "", "gauss"]], "physbo.gp.lik.gauss.gauss": [[27, 2, 1, "", "get_cand_params"], [27, 2, 1, "", "get_cov"], [27, 2, 1, "", "get_grad"], [27, 2, 1, "", "get_params_bound"], [27, 2, 1, "", "sampling"], [27, 2, 1, "", "set_params"], [27, 2, 1, "", "supp_params"], [27, 2, 1, "", "trans_params"]], "physbo.gp.mean": [[29, 0, 0, "-", "const"], [30, 0, 0, "-", "zero"]], "physbo.gp.mean.const": [[29, 1, 1, "", "const"]], "physbo.gp.mean.const.const": [[29, 2, 1, "", "get_cand_params"], [29, 2, 1, "", "get_grad"], [29, 2, 1, "", "get_mean"], [29, 2, 1, "", "get_params_bound"], [29, 2, 1, "", "init_params"], [29, 2, 1, "", "set_params"], [29, 2, 1, "", "supp_params"]], "physbo.gp.mean.zero": [[30, 1, 1, "", "zero"]], "physbo.gp.mean.zero.zero": [[30, 2, 1, "", "get_grad"], [30, 2, 1, "", "get_mean"], [30, 2, 1, "", "set_params"]], "physbo.gp.predictor": [[31, 1, 1, "", "predictor"]], "physbo.gp.predictor.predictor": [[31, 2, 1, "", "delete_stats"], [31, 2, 1, "", "fit"], [31, 2, 1, "", "get_basis"], [31, 2, 1, "", "get_post_fcov"], [31, 2, 1, "", "get_post_fmean"], [31, 2, 1, "", "get_post_params"], [31, 2, 1, "", "get_post_samples"], [31, 2, 1, "", "get_predict_samples"], [31, 2, 1, "", "prepare"], [31, 2, 1, "", "update"]], "physbo.misc": [[33, 0, 0, "-", "centering"], [34, 0, 0, "-", "gauss_elim"], [35, 0, 0, "-", "set_config"]], "physbo.misc.centering": [[33, 4, 1, "", "centering"]], "physbo.misc.gauss_elim": [[34, 4, 1, "", "gauss_elim"]], "physbo.misc.set_config": [[35, 1, 1, "", "adam"], [35, 1, 1, "", "batch"], [35, 4, 1, "", "boolean"], [35, 1, 1, "", "learning"], [35, 1, 1, "", "online"], [35, 1, 1, "", "search"], [35, 1, 1, "", "set_config"]], "physbo.misc.set_config.adam": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.batch": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.learning": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.online": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.search": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.set_config": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.opt": [[37, 0, 0, "-", "adam"]], "physbo.opt.adam": [[37, 1, 1, "", "adam"]], "physbo.opt.adam.adam": [[37, 3, 1, "", "alpha"], [37, 3, 1, "", "beta"], [37, 3, 1, "", "epoch"], [37, 3, 1, "", "epsilon"], [37, 3, 1, "", "gamma"], [37, 3, 1, "", "grad"], [37, 3, 1, "", "m"], [37, 3, 1, "", "max_epoch"], [37, 3, 1, "", "nparams"], [37, 3, 1, "", "params"], [37, 2, 1, "", "run"], [37, 2, 1, "", "set_params"], [37, 2, 1, "", "update"], [37, 3, 1, "", "v"]], "physbo.predictor": [[38, 1, 1, "", "base_predictor"]], "physbo.predictor.base_predictor": [[38, 2, 1, "", "delete_stats"], [38, 2, 1, "", "fit"], [38, 2, 1, "", "get_basis"], [38, 2, 1, "", "get_post_fcov"], [38, 2, 1, "", "get_post_fmean"], [38, 2, 1, "", "get_post_params"], [38, 2, 1, "", "get_post_params_samples"], [38, 2, 1, "", "get_post_samples"], [38, 2, 1, "", "get_predict_samples"], [38, 2, 1, "", "load"], [38, 2, 1, "", "prepare"], [38, 2, 1, "", "save"], [38, 2, 1, "", "update"]], "physbo.search": [[40, 0, 0, "-", "discrete"], [43, 0, 0, "-", "discrete_multi"], [46, 0, 0, "-", "pareto"], [47, 0, 0, "-", "score"], [48, 0, 0, "-", "score_multi"], [49, 0, 0, "-", "utility"]], "physbo.search.discrete": [[41, 0, 0, "-", "policy"], [42, 0, 0, "-", "results"]], "physbo.search.discrete.policy": [[41, 1, 1, "", "policy"]], "physbo.search.discrete.policy.policy": [[41, 2, 1, "", "bayes_search"], [41, 2, 1, "", "export_history"], [41, 2, 1, "", "export_predictor"], [41, 2, 1, "", "export_training"], [41, 2, 1, "", "get_post_fcov"], [41, 2, 1, "", "get_post_fmean"], [41, 2, 1, "", "get_score"], [41, 2, 1, "", "load"], [41, 2, 1, "", "random_search"], [41, 2, 1, "", "save"], [41, 2, 1, "", "set_seed"], [41, 2, 1, "", "write"]], "physbo.search.discrete.results": [[42, 1, 1, "", "history"]], "physbo.search.discrete.results.history": [[42, 2, 1, "", "export_all_sequence_best_fx"], [42, 2, 1, "", "export_sequence_best_fx"], [42, 2, 1, "", "load"], [42, 2, 1, "", "save"], [42, 5, 1, "", "time_get_action"], [42, 5, 1, "", "time_run_simulator"], [42, 5, 1, "", "time_total"], [42, 5, 1, "", "time_update_predictor"], [42, 2, 1, "", "write"]], "physbo.search.discrete_multi": [[44, 0, 0, "-", "policy"], [45, 0, 0, "-", "results"]], "physbo.search.discrete_multi.policy": [[44, 1, 1, "", "policy"]], "physbo.search.discrete_multi.policy.policy": [[44, 2, 1, "", "bayes_search"], [44, 2, 1, "", "get_post_fcov"], [44, 2, 1, "", "get_post_fmean"], [44, 2, 1, "", "get_score"], [44, 2, 1, "", "load"], [44, 2, 1, "", "load_predictor_list"], [44, 2, 1, "", "load_training_list"], [44, 3, 1, "", "new_data_list"], [44, 2, 1, "", "random_search"], [44, 2, 1, "", "save"], [44, 2, 1, "", "save_predictor_list"], [44, 2, 1, "", "save_training_list"], [44, 2, 1, "", "write"]], "physbo.search.discrete_multi.results": [[45, 1, 1, "", "history"]], "physbo.search.discrete_multi.results.history": [[45, 2, 1, "", "export_pareto_front"], [45, 2, 1, "", "load"], [45, 2, 1, "", "save"], [45, 5, 1, "", "time_get_action"], [45, 5, 1, "", "time_run_simulator"], [45, 5, 1, "", "time_total"], [45, 5, 1, "", "time_update_predictor"], [45, 2, 1, "", "write"]], "physbo.search.pareto": [[46, 1, 1, "", "Pareto"], [46, 1, 1, "", "Rectangles"], [46, 4, 1, "", "dominate"]], "physbo.search.pareto.Pareto": [[46, 2, 1, "", "divide_non_dominated_region"], [46, 2, 1, "", "export_front"], [46, 2, 1, "", "set_reference_max"], [46, 2, 1, "", "set_reference_min"], [46, 2, 1, "", "update_front"], [46, 2, 1, "", "volume_in_dominance"]], "physbo.search.pareto.Rectangles": [[46, 2, 1, "", "add"]], "physbo.search.score": [[47, 4, 1, "", "EI"], [47, 4, 1, "", "PI"], [47, 4, 1, "", "TS"], [47, 4, 1, "", "score"]], "physbo.search.score_multi": [[48, 4, 1, "", "EHVI"], [48, 4, 1, "", "HVPI"], [48, 4, 1, "", "TS"], [48, 4, 1, "", "score"]], "physbo.search.utility": [[49, 4, 1, "", "is_learning"], [49, 4, 1, "", "length_vector"], [49, 4, 1, "", "show_interactive_mode"], [49, 4, 1, "", "show_search_results"], [49, 4, 1, "", "show_search_results_mo"], [49, 4, 1, "", "show_start_message_multi_search"]], "physbo.variable": [[50, 1, 1, "", "variable"]], "physbo.variable.variable": [[50, 2, 1, "", "add"], [50, 2, 1, "", "add_X"], [50, 2, 1, "", "add_Z"], [50, 2, 1, "", "add_t"], [50, 2, 1, "", "delete"], [50, 2, 1, "", "delete_X"], [50, 2, 1, "", "delete_Z"], [50, 2, 1, "", "delete_t"], [50, 2, 1, "", "get_subset"], [50, 2, 1, "", "load"], [50, 2, 1, "", "save"]]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:attribute", "4": "py:function", "5": "py:property"}, "objnames": {"0": ["py", "module", "Python \u30e2\u30b8\u30e5\u30fc\u30eb"], "1": ["py", "class", "Python \u30af\u30e9\u30b9"], "2": ["py", "method", "Python \u30e1\u30bd\u30c3\u30c9"], "3": ["py", "attribute", "Python \u306e\u5c5e\u6027"], "4": ["py", "function", "Python \u306e\u95a2\u6570"], "5": ["py", "property", "Python \u30d7\u30ed\u30d1\u30c6\u30a3"]}, "titleterms": {"\u8b1d\u8f9e": 0, "\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0": 1, "\u30d9\u30a4\u30ba": [1, 57, 59, 62], "\u6700\u9069": [1, 57, 59, 62], "physbo": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 57, 61], "\u306b\u3088\u308b": [1, 56], "\u9ad8\u901f": 1, "package": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43], "subpackages": [3, 4, 17, 39], "submodules": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43], "module": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], "contents": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43, 52, 55], ".blm": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], ".basis": [5, 6], ".fourier": 6, ".core": [7, 8, 18, 19, 20, 21], ".model": [8, 20], ".inf": [9, 10, 24, 25], ".exact": [10, 25], ".lik": [11, 12, 13, 26, 27], ".gauss": [12, 16, 23, 27, 34], ".linear": 13, ".predictor": [14, 31, 38], ".prior": [15, 16, 21], ".gp": [17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], ".learning": 19, ".cov": [22, 23], ".mean": [28, 29, 30], ".const": 29, ".zero": 30, ".misc": [32, 33, 34, 35], ".centering": 33, "_elim": 34, ".set": 35, "_config": 35, ".opt": [36, 37], ".adam": 37, ".search": [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49], ".discrete": [40, 41, 42, 43, 44, 45], ".policy": [41, 44], ".results": [42, 45], "_multi": [43, 44, 45, 48], ".pareto": 46, ".score": [47, 48], ".utility": 49, ".variable": 50, "\u304a\u554f\u3044": 51, "\u5408\u308f": 51, "welcome": 52, "to": 52, "'s": 52, "documentation": 52, "\u57fa\u672c": [53, 57], "\u4f7f\u7528": 53, "\u65b9\u6cd5": 53, "\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": 53, "\u5b9f\u884c": [53, 57, 58, 59, 60, 61], "\u74b0\u5883": 53, "\u5fc5\u8981": 53, "\u30d1\u30c3\u30b1\u30fc\u30b8": 53, "\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9": 53, "\u30a2\u30f3\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": 53, "\u69cb\u9020": 53, "\u8a08\u7b97": [53, 59, 61], "\u6d41\u308c": 53, "\u306f\u3058\u3081": [54, 57], "\u5f15\u7528": 54, "\u958b\u767a": 54, "\u30e9\u30a4\u30bb\u30f3\u30b9": 54, "\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb": 55, "\u30ac\u30a6\u30b9": 56, "\u904e\u7a0b": 56, "\u63a2\u7d22": [56, 57, 58, 59, 60, 61, 62], "\u5019\u88dc": [56, 57, 58, 59, 60, 61], "\u30c7\u30fc\u30bf": [56, 57, 58, 59, 60, 61], "\u6e96\u5099": [56, 57, 58, 59, 60, 61], "\u5b66\u7fd2": 56, "\u5b9a\u7fa9": [56, 57, 58, 59, 60, 62], "\u4e88\u6e2c": 56, "\u8a13\u7df4\u6e08": 56, "\u30e2\u30c7\u30eb": 56, "simulator": [57, 58, 59, 60, 62], "\u30af\u30e9\u30b9": [57, 62], "\u6700\u9069\u5316": [57, 58, 59, 60], "policy": [57, 59], "\u30bb\u30c3\u30c8": [57, 59], "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1": [57, 59, 62], "\u7d50\u679c": [57, 59, 60, 61, 62], "\u78ba\u8a8d": [57, 59, 60], "\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba": 57, "\u56de\u5e30": 57, "\u7372\u5f97": 57, "\u95a2\u6570": [57, 59], "\u4e26\u5217\u5316": 57, "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6": 58, "\u3059\u308b": [58, 60, 61], "\u4e2d\u65ad": 58, "\u518d\u958b": 58, "\u591a\u76ee": 59, "\u30c6\u30b9\u30c8": 59, "\u30d7\u30ed\u30c3\u30c8": 59, "1\u3064": 59, "\u76ee\u7684": 59, "2\u3064": 59, "\u30d1\u30ec\u30fc\u30c8": 59, "\u53d6\u5f97": [59, 61], "\u8a55\u4fa1\u5024": 59, "\u52a3\u89e3": 59, "\u9818\u57df": 59, "dominated": 59, "region": 59, "\u4f53\u7a4d": 59, "hvpi": 59, "hypervolume": 59, "-based": 59, "probability": 59, "of": 59, "improvement": 59, "\u52a3\u89e3\u9818": 59, "\u57df\u4f53": 59, "ehvi": 59, "expected": 59, "hyper": 59, "-volume": 59, "ts": 59, "thompson": 59, "sampling": 59, "\u4ed8\u9332": 59, "\u5168\u63a2": 59, "\u8907\u6570": 60, "\u4e00\u5ea6": 60, "\u65e2\u5b58": 61, "\u8aad\u307f\u8fbc\u3093": 61, "\u4e8b\u524d": 61, "\u7528\u610f": 61, "action": 61, "id": 61, "\u30d1\u30e9\u30e1\u30fc\u30bf": 61, "\u8a55\u4fa1": 61, "\u767b\u9332": 61, "\u304b\u3089": 61, "\u7a7a\u9593": 62, "\u8868\u793a": 62}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1, "nbsphinx": 4, "sphinx": 60}, "alltitles": {"\u8b1d\u8f9e": [[0, "id1"]], "\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0": [[1, "chap-algorithm"]], "\u30d9\u30a4\u30ba\u6700\u9069\u5316": [[1, "id3"], [57, "\u30d9\u30a4\u30ba\u6700\u9069\u5316"], [59, "\u30d9\u30a4\u30ba\u6700\u9069\u5316"], [62, "\u30d9\u30a4\u30ba\u6700\u9069\u5316"]], "PHYSBO\u306b\u3088\u308b\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u9ad8\u901f\u5316": [[1, "physbo"]], "physbo": [[2, "physbo"]], "physbo package": [[3, "physbo-package"]], "Subpackages": [[3, "subpackages"], [4, "subpackages"], [17, "subpackages"], [39, "subpackages"]], "Submodules": [[3, "submodules"], [4, "submodules"], [5, "submodules"], [7, "submodules"], [9, "submodules"], [11, "submodules"], [15, "submodules"], [17, "submodules"], [18, "submodules"], [22, "submodules"], [24, "submodules"], [26, "submodules"], [28, "submodules"], [32, "submodules"], [36, "submodules"], [39, "submodules"], [40, "submodules"], [43, "submodules"]], "Module contents": [[3, "module-physbo"], [4, "module-physbo.blm"], [5, "module-physbo.blm.basis"], [7, "module-physbo.blm.core"], [9, "module-physbo.blm.inf"], [11, "module-physbo.blm.lik"], [15, "module-physbo.blm.prior"], [17, "module-physbo.gp"], [18, "module-physbo.gp.core"], [22, "module-physbo.gp.cov"], [24, "module-physbo.gp.inf"], [26, "module-physbo.gp.lik"], [28, "module-physbo.gp.mean"], [32, "module-physbo.misc"], [36, "module-physbo.opt"], [39, "module-physbo.search"], [40, "module-physbo.search.discrete"], [43, "module-physbo.search.discrete_multi"]], "physbo.blm package": [[4, "physbo-blm-package"]], "physbo.blm.basis package": [[5, "physbo-blm-basis-package"]], "physbo.blm.basis.fourier module": [[6, "module-physbo.blm.basis.fourier"]], "physbo.blm.core package": [[7, "physbo-blm-core-package"]], "physbo.blm.core.model module": [[8, "module-physbo.blm.core.model"]], "physbo.blm.inf package": [[9, "physbo-blm-inf-package"]], "physbo.blm.inf.exact module": [[10, "module-physbo.blm.inf.exact"]], "physbo.blm.lik package": [[11, "physbo-blm-lik-package"]], "physbo.blm.lik.gauss module": [[12, "module-physbo.blm.lik.gauss"]], "physbo.blm.lik.linear module": [[13, "module-physbo.blm.lik.linear"]], "physbo.blm.predictor module": [[14, "module-physbo.blm.predictor"]], "physbo.blm.prior package": [[15, "physbo-blm-prior-package"]], "physbo.blm.prior.gauss module": [[16, "module-physbo.blm.prior.gauss"]], "physbo.gp package": [[17, "physbo-gp-package"]], "physbo.gp.core package": [[18, "physbo-gp-core-package"]], "physbo.gp.core.learning module": [[19, "module-physbo.gp.core.learning"]], "physbo.gp.core.model module": [[20, "module-physbo.gp.core.model"]], "physbo.gp.core.prior module": [[21, "module-physbo.gp.core.prior"]], "physbo.gp.cov package": [[22, "physbo-gp-cov-package"]], "physbo.gp.cov.gauss module": [[23, "module-physbo.gp.cov.gauss"]], "physbo.gp.inf package": [[24, "physbo-gp-inf-package"]], "physbo.gp.inf.exact module": [[25, "module-physbo.gp.inf.exact"]], "physbo.gp.lik package": [[26, "physbo-gp-lik-package"]], "physbo.gp.lik.gauss module": [[27, "module-physbo.gp.lik.gauss"]], "physbo.gp.mean package": [[28, "physbo-gp-mean-package"]], "physbo.gp.mean.const module": [[29, "module-physbo.gp.mean.const"]], "physbo.gp.mean.zero module": [[30, "module-physbo.gp.mean.zero"]], "physbo.gp.predictor module": [[31, "module-physbo.gp.predictor"]], "physbo.misc package": [[32, "physbo-misc-package"]], "physbo.misc.centering module": [[33, "module-physbo.misc.centering"]], "physbo.misc.gauss_elim module": [[34, "module-physbo.misc.gauss_elim"]], "physbo.misc.set_config module": [[35, "module-physbo.misc.set_config"]], "physbo.opt package": [[36, "physbo-opt-package"]], "physbo.opt.adam module": [[37, "module-physbo.opt.adam"]], "physbo.predictor module": [[38, "module-physbo.predictor"]], "physbo.search package": [[39, "physbo-search-package"]], "physbo.search.discrete package": [[40, "physbo-search-discrete-package"]], "physbo.search.discrete.policy module": [[41, "module-physbo.search.discrete.policy"]], "physbo.search.discrete.results module": [[42, "module-physbo.search.discrete.results"]], "physbo.search.discrete_multi package": [[43, "physbo-search-discrete-multi-package"]], "physbo.search.discrete_multi.policy module": [[44, "module-physbo.search.discrete_multi.policy"]], "physbo.search.discrete_multi.results module": [[45, "module-physbo.search.discrete_multi.results"]], "physbo.search.pareto module": [[46, "module-physbo.search.pareto"]], "physbo.search.score module": [[47, "module-physbo.search.score"]], "physbo.search.score_multi module": [[48, "module-physbo.search.score_multi"]], "physbo.search.utility module": [[49, "module-physbo.search.utility"]], "physbo.variable module": [[50, "module-physbo.variable"]], "\u304a\u554f\u3044\u5408\u308f\u305b": [[51, "id1"]], "Welcome to PHYSBO's documentation!": [[52, "welcome-to-physbo-s-documentation"]], "Contents:": [[52, null], [55, null]], "\u57fa\u672c\u7684\u306a\u4f7f\u7528\u65b9\u6cd5": [[53, "id1"]], "\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": [[53, "id2"]], "\u5b9f\u884c\u74b0\u5883\u30fb\u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8": [[53, "id3"]], "\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u30fb\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": [[53, "id4"]], "\u30a2\u30f3\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": [[53, "id5"]], "PHYSBO\u306e\u57fa\u672c\u69cb\u9020": [[53, "physbo"]], "\u8a08\u7b97\u306e\u6d41\u308c": [[53, "id6"]], "\u306f\u3058\u3081\u306b": [[54, "id1"], [57, "\u306f\u3058\u3081\u306b"]], "PHYSBO \u3068\u306f": [[54, "physbo"]], "PHYSBO \u306e\u5f15\u7528": [[54, "id3"]], "\u4e3b\u306a\u958b\u767a\u8005": [[54, "id4"]], "\u30e9\u30a4\u30bb\u30f3\u30b9": [[54, "id5"]], "\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb": [[55, "id1"]], "\u30ac\u30a6\u30b9\u904e\u7a0b": [[56, "\u30ac\u30a6\u30b9\u904e\u7a0b"]], "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099": [[56, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [57, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [58, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [59, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [60, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [61, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"]], "\u5b66\u7fd2\u30c7\u30fc\u30bf\u306e\u5b9a\u7fa9": [[56, "\u5b66\u7fd2\u30c7\u30fc\u30bf\u306e\u5b9a\u7fa9"]], "\u30ac\u30a6\u30b9\u904e\u7a0b\u306e\u5b66\u7fd2\u3068\u4e88\u6e2c": [[56, "\u30ac\u30a6\u30b9\u904e\u7a0b\u306e\u5b66\u7fd2\u3068\u4e88\u6e2c"]], "\u8a13\u7df4\u6e08\u307f\u30e2\u30c7\u30eb\u306b\u3088\u308b\u4e88\u6e2c": [[56, "\u8a13\u7df4\u6e08\u307f\u30e2\u30c7\u30eb\u306b\u3088\u308b\u4e88\u6e2c"]], "PHYSBO \u306e\u57fa\u672c": [[57, "PHYSBO-\u306e\u57fa\u672c"]], "simulator\u30af\u30e9\u30b9\u306e\u5b9a\u7fa9": [[57, "simulator\u30af\u30e9\u30b9\u306e\u5b9a\u7fa9"], [62, "simulator\u30af\u30e9\u30b9\u306e\u5b9a\u7fa9"], [62, "id2"]], "\u6700\u9069\u5316\u306e\u5b9f\u884c": [[57, "\u6700\u9069\u5316\u306e\u5b9f\u884c"], [58, "\u6700\u9069\u5316\u306e\u5b9f\u884c"], [59, "\u6700\u9069\u5316\u306e\u5b9f\u884c"], [60, "\u6700\u9069\u5316\u306e\u5b9f\u884c"]], "policy \u306e\u30bb\u30c3\u30c8": [[57, "policy-\u306e\u30bb\u30c3\u30c8"], [59, "policy-\u306e\u30bb\u30c3\u30c8"]], "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1": [[57, "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1"], [59, "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1"], [62, "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1"]], "\u7d50\u679c\u306e\u78ba\u8a8d": [[57, "\u7d50\u679c\u306e\u78ba\u8a8d"], [59, "\u7d50\u679c\u306e\u78ba\u8a8d"], [60, "\u7d50\u679c\u306e\u78ba\u8a8d"]], "\u7d50\u679c\u306e\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba": [[57, "\u7d50\u679c\u306e\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba"]], "\u56de\u5e30": [[57, "\u56de\u5e30"]], "\u7372\u5f97\u95a2\u6570": [[57, "\u7372\u5f97\u95a2\u6570"]], "\u4e26\u5217\u5316": [[57, "\u4e26\u5217\u5316"]], "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306b\u5b9f\u884c\u3059\u308b": [[58, "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306b\u5b9f\u884c\u3059\u308b"]], "simulator \u306e\u5b9a\u7fa9": [[58, "simulator-\u306e\u5b9a\u7fa9"], [59, "simulator-\u306e\u5b9a\u7fa9"], [60, "simulator-\u306e\u5b9a\u7fa9"]], "\u4e2d\u65ad\u3068\u518d\u958b": [[58, "\u4e2d\u65ad\u3068\u518d\u958b"]], "\u591a\u76ee\u7684\u6700\u9069\u5316": [[59, "\u591a\u76ee\u7684\u6700\u9069\u5316"]], "\u30c6\u30b9\u30c8\u95a2\u6570": [[59, "\u30c6\u30b9\u30c8\u95a2\u6570"]], "\u95a2\u6570\u306e\u30d7\u30ed\u30c3\u30c8": [[59, "\u95a2\u6570\u306e\u30d7\u30ed\u30c3\u30c8"]], "1\u3064\u76ee\u306e\u76ee\u7684\u95a2\u6570": [[59, "1\u3064\u76ee\u306e\u76ee\u7684\u95a2\u6570"]], "2\u3064\u76ee\u306e\u76ee\u7684\u95a2\u6570": [[59, "2\u3064\u76ee\u306e\u76ee\u7684\u95a2\u6570"]], "\u30d1\u30ec\u30fc\u30c8\u89e3\u306e\u53d6\u5f97": [[59, "\u30d1\u30ec\u30fc\u30c8\u89e3\u306e\u53d6\u5f97"]], "\u89e3\uff08\u8a55\u4fa1\u5024\uff09\u306e\u30d7\u30ed\u30c3\u30c8": [[59, "\u89e3\uff08\u8a55\u4fa1\u5024\uff09\u306e\u30d7\u30ed\u30c3\u30c8"]], "\u52a3\u89e3\u9818\u57df (dominated region) \u306e\u4f53\u7a4d\u3092\u8a08\u7b97": [[59, "\u52a3\u89e3\u9818\u57df-(dominated-region)-\u306e\u4f53\u7a4d\u3092\u8a08\u7b97"]], "HVPI (HyperVolume-based Probability of Improvement)": [[59, "HVPI-(HyperVolume-based-Probability-of-Improvement)"]], "\u30d1\u30ec\u30fc\u30c8\u89e3\u306e\u30d7\u30ed\u30c3\u30c8": [[59, "\u30d1\u30ec\u30fc\u30c8\u89e3\u306e\u30d7\u30ed\u30c3\u30c8"], [59, "id15"], [59, "id17"]], "\u52a3\u89e3\u9818\u57df\u4f53\u7a4d": [[59, "\u52a3\u89e3\u9818\u57df\u4f53\u7a4d"], [59, "id16"], [59, "id18"]], "EHVI (Expected Hyper-Volume Improvement)": [[59, "EHVI-(Expected-Hyper-Volume-Improvement)"]], "TS (Thompson Sampling)": [[59, "TS-(Thompson-Sampling)"]], "\u4ed8\u9332\uff1a\u5168\u63a2\u7d22": [[59, "\u4ed8\u9332\uff1a\u5168\u63a2\u7d22"]], "\u8907\u6570\u5019\u88dc\u3092\u4e00\u5ea6\u306b\u63a2\u7d22\u3059\u308b": [[60, "\u8907\u6570\u5019\u88dc\u3092\u4e00\u5ea6\u306b\u63a2\u7d22\u3059\u308b"]], "\u65e2\u5b58\u306e\u8a08\u7b97\u7d50\u679c\u3092\u8aad\u307f\u8fbc\u3093\u3067\u5b9f\u884c\u3059\u308b": [[61, "\u65e2\u5b58\u306e\u8a08\u7b97\u7d50\u679c\u3092\u8aad\u307f\u8fbc\u3093\u3067\u5b9f\u884c\u3059\u308b"]], "\u4e8b\u524d\u306b\u8a08\u7b97\u3057\u305f\u30c7\u30fc\u30bf\u306e\u7528\u610f": [[61, "\u4e8b\u524d\u306b\u8a08\u7b97\u3057\u305f\u30c7\u30fc\u30bf\u306e\u7528\u610f"]], "action ID(\u30d1\u30e9\u30e1\u30fc\u30bf)\u3068\u8a55\u4fa1\u5024\u3092PHYSBO\u306b\u767b\u9332": [[61, "action-ID(\u30d1\u30e9\u30e1\u30fc\u30bf)\u3068\u8a55\u4fa1\u5024\u3092PHYSBO\u306b\u767b\u9332"]], "PHYSBO \u304b\u3089\u6b21\u306b\u5b9f\u884c\u3059\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u53d6\u5f97": [[61, "PHYSBO-\u304b\u3089\u6b21\u306b\u5b9f\u884c\u3059\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u53d6\u5f97"]], "\u63a2\u7d22\u7a7a\u9593\u306e\u5b9a\u7fa9": [[62, "\u63a2\u7d22\u7a7a\u9593\u306e\u5b9a\u7fa9"]], "\u7d50\u679c\u8868\u793a": [[62, "\u7d50\u679c\u8868\u793a"]]}, "indexentries": {"module": [[3, "module-physbo"], [4, "module-physbo.blm"], [5, "module-physbo.blm.basis"], [6, "module-physbo.blm.basis.fourier"], [7, "module-physbo.blm.core"], [8, "module-physbo.blm.core.model"], [9, "module-physbo.blm.inf"], [10, "module-physbo.blm.inf.exact"], [11, "module-physbo.blm.lik"], [12, "module-physbo.blm.lik.gauss"], [13, "module-physbo.blm.lik.linear"], [14, "module-physbo.blm.predictor"], [15, "module-physbo.blm.prior"], [16, "module-physbo.blm.prior.gauss"], [17, "module-physbo.gp"], [18, "module-physbo.gp.core"], [19, "module-physbo.gp.core.learning"], [20, "module-physbo.gp.core.model"], [21, "module-physbo.gp.core.prior"], [22, "module-physbo.gp.cov"], [23, "module-physbo.gp.cov.gauss"], [24, "module-physbo.gp.inf"], [25, "module-physbo.gp.inf.exact"], [26, "module-physbo.gp.lik"], [27, "module-physbo.gp.lik.gauss"], [28, "module-physbo.gp.mean"], [29, "module-physbo.gp.mean.const"], [30, "module-physbo.gp.mean.zero"], [31, "module-physbo.gp.predictor"], [32, "module-physbo.misc"], [33, "module-physbo.misc.centering"], [34, "module-physbo.misc.gauss_elim"], [35, "module-physbo.misc.set_config"], [36, "module-physbo.opt"], [37, "module-physbo.opt.adam"], [38, "module-physbo.predictor"], [39, "module-physbo.search"], [40, "module-physbo.search.discrete"], [41, "module-physbo.search.discrete.policy"], [42, "module-physbo.search.discrete.results"], [43, "module-physbo.search.discrete_multi"], [44, "module-physbo.search.discrete_multi.policy"], [45, "module-physbo.search.discrete_multi.results"], [46, "module-physbo.search.pareto"], [47, "module-physbo.search.score"], [48, "module-physbo.search.score_multi"], [49, "module-physbo.search.utility"], [50, "module-physbo.variable"]], "physbo": [[3, "module-physbo"]], "physbo.blm": [[4, "module-physbo.blm"]], "physbo.blm.basis": [[5, "module-physbo.blm.basis"]], "fourier (physbo.blm.basis.fourier \u306e\u30af\u30e9\u30b9)": [[6, "physbo.blm.basis.fourier.fourier"]], "get_basis() (physbo.blm.basis.fourier.fourier \u306e\u30e1\u30bd\u30c3\u30c9)": [[6, "physbo.blm.basis.fourier.fourier.get_basis"]], "nbasis (physbo.blm.basis.fourier.fourier \u306e\u5c5e\u6027)": [[6, "physbo.blm.basis.fourier.fourier.nbasis"]], "params (physbo.blm.basis.fourier.fourier \u306e\u5c5e\u6027)": [[6, "physbo.blm.basis.fourier.fourier.params"]], "physbo.blm.basis.fourier": [[6, "module-physbo.blm.basis.fourier"]], "set_params() (physbo.blm.basis.fourier.fourier \u306e\u30e1\u30bd\u30c3\u30c9)": [[6, "physbo.blm.basis.fourier.fourier.set_params"]], "show() (physbo.blm.basis.fourier.fourier \u306e\u30e1\u30bd\u30c3\u30c9)": [[6, "physbo.blm.basis.fourier.fourier.show"]], "physbo.blm.core": [[7, "module-physbo.blm.core"]], "get_post_fcov() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.get_post_fcov"]], "get_post_fmean() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.get_post_fmean"]], "get_post_params_mean() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.get_post_params_mean"]], "lik (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.lik"]], "method (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.method"]], "model (physbo.blm.core.model \u306e\u30af\u30e9\u30b9)": [[8, "physbo.blm.core.model.model"]], "nbasis (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.nbasis"]], "physbo.blm.core.model": [[8, "module-physbo.blm.core.model"]], "post_sampling() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.post_sampling"]], "predict_sampling() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.predict_sampling"]], "prepare() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.prepare"]], "prior (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.prior"]], "sampling() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.sampling"]], "stats (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.stats"]], "update_stats() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.update_stats"]], "physbo.blm.inf": [[9, "module-physbo.blm.inf"]], "get_post_fcov() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.get_post_fcov"]], "get_post_fmean() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.get_post_fmean"]], "get_post_params_mean() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.get_post_params_mean"]], "physbo.blm.inf.exact": [[10, "module-physbo.blm.inf.exact"]], "prepare() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.prepare"]], "sampling() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.sampling"]], "update_stats() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.update_stats"]], "physbo.blm.lik": [[11, "module-physbo.blm.lik"]], "cov (physbo.blm.lik.gauss.gauss \u306e\u5c5e\u6027)": [[12, "physbo.blm.lik.gauss.gauss.cov"]], "gauss (physbo.blm.lik.gauss \u306e\u30af\u30e9\u30b9)": [[12, "physbo.blm.lik.gauss.gauss"]], "get_basis() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.get_basis"]], "get_cov() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.get_cov"]], "get_mean() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.get_mean"]], "get_prec() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.get_prec"]], "linear (physbo.blm.lik.gauss.gauss \u306e\u5c5e\u6027)": [[12, "physbo.blm.lik.gauss.gauss.linear"]], "physbo.blm.lik.gauss": [[12, "module-physbo.blm.lik.gauss"]], "sampling() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.sampling"]], "set_bias() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.set_bias"]], "set_params() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.set_params"]], "stats (physbo.blm.lik.gauss.gauss \u306e\u5c5e\u6027)": [[12, "physbo.blm.lik.gauss.gauss.stats"]], "_init_params (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear._init_params"]], "basis (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear.basis"]], "bias (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear.bias"]], "get_mean() (physbo.blm.lik.linear.linear \u306e\u30e1\u30bd\u30c3\u30c9)": [[13, "physbo.blm.lik.linear.linear.get_mean"]], "linear (physbo.blm.lik.linear \u306e\u30af\u30e9\u30b9)": [[13, "physbo.blm.lik.linear.linear"]], "nbasis (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear.nbasis"]], "params (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear.params"]], "physbo.blm.lik.linear": [[13, "module-physbo.blm.lik.linear"]], "set_bias() (physbo.blm.lik.linear.linear \u306e\u30e1\u30bd\u30c3\u30c9)": [[13, "physbo.blm.lik.linear.linear.set_bias"]], "set_params() (physbo.blm.lik.linear.linear \u306e\u30e1\u30bd\u30c3\u30c9)": [[13, "physbo.blm.lik.linear.linear.set_params"]], "blm (physbo.blm.predictor.predictor \u306e\u5c5e\u6027)": [[14, "physbo.blm.predictor.predictor.blm"]], "config (physbo.blm.predictor.predictor \u306e\u5c5e\u6027)": [[14, "physbo.blm.predictor.predictor.config"]], "delete_stats() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.delete_stats"]], "fit() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.fit"]], "get_basis() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_basis"]], "get_post_fcov() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_post_fcov"]], "get_post_fmean() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_post_fmean"]], "get_post_params() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_post_params"]], "get_post_samples() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_post_samples"]], "get_predict_samples() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_predict_samples"]], "physbo.blm.predictor": [[14, "module-physbo.blm.predictor"]], "predictor (physbo.blm.predictor \u306e\u30af\u30e9\u30b9)": [[14, "physbo.blm.predictor.predictor"]], "prepare() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.prepare"]], "update() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.update"]], "physbo.blm.prior": [[15, "module-physbo.blm.prior"]], "cov (physbo.blm.prior.gauss.gauss \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.gauss.cov"]], "cov_const (physbo.blm.prior.gauss \u306e\u30af\u30e9\u30b9)": [[16, "physbo.blm.prior.gauss.cov_const"]], "gauss (physbo.blm.prior.gauss \u306e\u30af\u30e9\u30b9)": [[16, "physbo.blm.prior.gauss.gauss"]], "get_cov() (physbo.blm.prior.gauss.cov_const \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.cov_const.get_cov"]], "get_cov() (physbo.blm.prior.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.gauss.get_cov"]], "get_mean() (physbo.blm.prior.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.gauss.get_mean"]], "get_prec() (physbo.blm.prior.gauss.cov_const \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.cov_const.get_prec"]], "get_prec() (physbo.blm.prior.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.gauss.get_prec"]], "nbasis (physbo.blm.prior.gauss.gauss \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.gauss.nbasis"]], "params (physbo.blm.prior.gauss.cov_const \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.cov_const.params"]], "physbo.blm.prior.gauss": [[16, "module-physbo.blm.prior.gauss"]], "prec (physbo.blm.prior.gauss.cov_const \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.cov_const.prec"]], "set_params() (physbo.blm.prior.gauss.cov_const \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.cov_const.set_params"]], "set_params() (physbo.blm.prior.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.gauss.set_params"]], "sigma2 (physbo.blm.prior.gauss.cov_const \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.cov_const.sigma2"]], "physbo.gp": [[17, "module-physbo.gp"]], "physbo.gp.core": [[18, "module-physbo.gp.core"]], "adam (physbo.gp.core.learning \u306e\u30af\u30e9\u30b9)": [[19, "physbo.gp.core.learning.adam"]], "batch (physbo.gp.core.learning \u306e\u30af\u30e9\u30b9)": [[19, "physbo.gp.core.learning.batch"]], "disp_marlik() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.disp_marlik"]], "get_one_update() (physbo.gp.core.learning.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.adam.get_one_update"]], "get_one_update() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.get_one_update"]], "init_params_search() (physbo.gp.core.learning.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.batch.init_params_search"]], "init_params_search() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.init_params_search"]], "one_run() (physbo.gp.core.learning.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.batch.one_run"]], "one_run() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.one_run"]], "online (physbo.gp.core.learning \u306e\u30af\u30e9\u30b9)": [[19, "physbo.gp.core.learning.online"]], "physbo.gp.core.learning": [[19, "module-physbo.gp.core.learning"]], "reset() (physbo.gp.core.learning.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.adam.reset"]], "run() (physbo.gp.core.learning.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.batch.run"]], "run() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.run"]], "cat_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.cat_params"]], "decomp_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.decomp_params"]], "eval_marlik() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.eval_marlik"]], "export_blm() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.export_blm"]], "fit() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.fit"]], "get_cand_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_cand_params"]], "get_grad_marlik() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_grad_marlik"]], "get_params_bound() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_params_bound"]], "get_post_fcov() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_post_fcov"]], "get_post_fmean() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_post_fmean"]], "model (physbo.gp.core.model \u306e\u30af\u30e9\u30b9)": [[20, "physbo.gp.core.model.model"]], "physbo.gp.core.model": [[20, "module-physbo.gp.core.model"]], "post_sampling() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.post_sampling"]], "predict_sampling() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.predict_sampling"]], "prepare() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.prepare"]], "print_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.print_params"]], "set_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.set_params"]], "sub_sampling() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.sub_sampling"]], "cat_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.cat_params"]], "decomp_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.decomp_params"]], "get_cov() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.get_cov"]], "get_grad_cov() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.get_grad_cov"]], "get_grad_mean() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.get_grad_mean"]], "get_mean() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.get_mean"]], "physbo.gp.core.prior": [[21, "module-physbo.gp.core.prior"]], "prior (physbo.gp.core.prior \u306e\u30af\u30e9\u30b9)": [[21, "physbo.gp.core.prior.prior"]], "sampling() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.sampling"]], "set_cov_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.set_cov_params"]], "set_mean_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.set_mean_params"]], "set_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.set_params"]], "physbo.gp.cov": [[22, "module-physbo.gp.cov"]], "cat_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.cat_params"]], "decomp_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.decomp_params"]], "gauss (physbo.gp.cov.gauss \u306e\u30af\u30e9\u30b9)": [[23, "physbo.gp.cov.gauss.gauss"]], "get_cand_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.get_cand_params"]], "get_cov() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.get_cov"]], "get_grad() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.get_grad"]], "get_params_bound() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.get_params_bound"]], "load() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.load"]], "physbo.gp.cov.gauss": [[23, "module-physbo.gp.cov.gauss"]], "prepare() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.prepare"]], "print_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.print_params"]], "rand_expans() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.rand_expans"]], "save() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.save"]], "set_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.set_params"]], "supp_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.supp_params"]], "physbo.gp.inf": [[24, "module-physbo.gp.inf"]], "eval_marlik() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.eval_marlik"]], "get_grad_marlik() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.get_grad_marlik"]], "get_post_fcov() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.get_post_fcov"]], "get_post_fmean() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.get_post_fmean"]], "physbo.gp.inf.exact": [[25, "module-physbo.gp.inf.exact"]], "prepare() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.prepare"]], "physbo.gp.lik": [[26, "module-physbo.gp.lik"]], "gauss (physbo.gp.lik.gauss \u306e\u30af\u30e9\u30b9)": [[27, "physbo.gp.lik.gauss.gauss"]], "get_cand_params() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.get_cand_params"]], "get_cov() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.get_cov"]], "get_grad() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.get_grad"]], "get_params_bound() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.get_params_bound"]], "physbo.gp.lik.gauss": [[27, "module-physbo.gp.lik.gauss"]], "sampling() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.sampling"]], "set_params() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.set_params"]], "supp_params() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.supp_params"]], "trans_params() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.trans_params"]], "physbo.gp.mean": [[28, "module-physbo.gp.mean"]], "const (physbo.gp.mean.const \u306e\u30af\u30e9\u30b9)": [[29, "physbo.gp.mean.const.const"]], "get_cand_params() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.get_cand_params"]], "get_grad() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.get_grad"]], "get_mean() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.get_mean"]], "get_params_bound() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.get_params_bound"]], "init_params() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.init_params"]], "physbo.gp.mean.const": [[29, "module-physbo.gp.mean.const"]], "set_params() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.set_params"]], "supp_params() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.supp_params"]], "get_grad() (physbo.gp.mean.zero.zero \u306e\u30e1\u30bd\u30c3\u30c9)": [[30, "physbo.gp.mean.zero.zero.get_grad"]], "get_mean() (physbo.gp.mean.zero.zero \u306e\u30e1\u30bd\u30c3\u30c9)": [[30, "physbo.gp.mean.zero.zero.get_mean"]], "physbo.gp.mean.zero": [[30, "module-physbo.gp.mean.zero"]], "set_params() (physbo.gp.mean.zero.zero \u306e\u30e1\u30bd\u30c3\u30c9)": [[30, "physbo.gp.mean.zero.zero.set_params"]], "zero (physbo.gp.mean.zero \u306e\u30af\u30e9\u30b9)": [[30, "physbo.gp.mean.zero.zero"]], "delete_stats() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.delete_stats"]], "fit() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.fit"]], "get_basis() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_basis"]], "get_post_fcov() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_post_fcov"]], "get_post_fmean() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_post_fmean"]], "get_post_params() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_post_params"]], "get_post_samples() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_post_samples"]], "get_predict_samples() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_predict_samples"]], "physbo.gp.predictor": [[31, "module-physbo.gp.predictor"]], "predictor (physbo.gp.predictor \u306e\u30af\u30e9\u30b9)": [[31, "physbo.gp.predictor.predictor"]], "prepare() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.prepare"]], "update() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.update"]], "physbo.misc": [[32, "module-physbo.misc"]], "centering() (physbo.misc.centering \u30e2\u30b8\u30e5\u30fc\u30eb)": [[33, "physbo.misc.centering.centering"]], "physbo.misc.centering": [[33, "module-physbo.misc.centering"]], "gauss_elim() (physbo.misc.gauss_elim \u30e2\u30b8\u30e5\u30fc\u30eb)": [[34, "physbo.misc.gauss_elim.gauss_elim"]], "physbo.misc.gauss_elim": [[34, "module-physbo.misc.gauss_elim"]], "adam (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.adam"]], "batch (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.batch"]], "boolean() (physbo.misc.set_config \u30e2\u30b8\u30e5\u30fc\u30eb)": [[35, "physbo.misc.set_config.boolean"]], "learning (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.learning"]], "load() (physbo.misc.set_config.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.adam.load"]], "load() (physbo.misc.set_config.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.batch.load"]], "load() (physbo.misc.set_config.learning \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.learning.load"]], "load() (physbo.misc.set_config.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.online.load"]], "load() (physbo.misc.set_config.search \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.search.load"]], "load() (physbo.misc.set_config.set_config \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.set_config.load"]], "online (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.online"]], "physbo.misc.set_config": [[35, "module-physbo.misc.set_config"]], "search (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.search"]], "set_config (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.set_config"]], "show() (physbo.misc.set_config.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.adam.show"]], "show() (physbo.misc.set_config.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.batch.show"]], "show() (physbo.misc.set_config.learning \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.learning.show"]], "show() (physbo.misc.set_config.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.online.show"]], "show() (physbo.misc.set_config.search \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.search.show"]], "show() (physbo.misc.set_config.set_config \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.set_config.show"]], "physbo.opt": [[36, "module-physbo.opt"]], "adam (physbo.opt.adam \u306e\u30af\u30e9\u30b9)": [[37, "physbo.opt.adam.adam"]], "alpha (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.alpha"]], "beta (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.beta"]], "epoch (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.epoch"]], "epsilon (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.epsilon"]], "gamma (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.gamma"]], "grad (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.grad"]], "m (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.m"]], "max_epoch (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.max_epoch"]], "nparams (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.nparams"]], "params (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.params"]], "physbo.opt.adam": [[37, "module-physbo.opt.adam"]], "run() (physbo.opt.adam.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[37, "physbo.opt.adam.adam.run"]], "set_params() (physbo.opt.adam.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[37, "physbo.opt.adam.adam.set_params"]], "update() (physbo.opt.adam.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[37, "physbo.opt.adam.adam.update"]], "v (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.v"]], "base_predictor (physbo.predictor \u306e\u30af\u30e9\u30b9)": [[38, "physbo.predictor.base_predictor"]], "delete_stats() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.delete_stats"]], "fit() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.fit"]], "get_basis() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_basis"]], "get_post_fcov() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_fcov"]], "get_post_fmean() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_fmean"]], "get_post_params() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_params"]], "get_post_params_samples() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_params_samples"]], "get_post_samples() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_samples"]], "get_predict_samples() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_predict_samples"]], "load() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.load"]], "physbo.predictor": [[38, "module-physbo.predictor"]], "prepare() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.prepare"]], "save() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.save"]], "update() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.update"]], "physbo.search": [[39, "module-physbo.search"]], "physbo.search.discrete": [[40, "module-physbo.search.discrete"]], "bayes_search() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.bayes_search"]], "export_history() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.export_history"]], "export_predictor() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.export_predictor"]], "export_training() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.export_training"]], "get_post_fcov() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.get_post_fcov"]], "get_post_fmean() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.get_post_fmean"]], "get_score() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.get_score"]], "load() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.load"]], "physbo.search.discrete.policy": [[41, "module-physbo.search.discrete.policy"]], "policy (physbo.search.discrete.policy \u306e\u30af\u30e9\u30b9)": [[41, "physbo.search.discrete.policy.policy"]], "random_search() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.random_search"]], "save() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.save"]], "set_seed() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.set_seed"]], "write() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.write"]], "export_all_sequence_best_fx() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.export_all_sequence_best_fx"]], "export_sequence_best_fx() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.export_sequence_best_fx"]], "history (physbo.search.discrete.results \u306e\u30af\u30e9\u30b9)": [[42, "physbo.search.discrete.results.history"]], "load() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.load"]], "physbo.search.discrete.results": [[42, "module-physbo.search.discrete.results"]], "save() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.save"]], "time_get_action (physbo.search.discrete.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[42, "physbo.search.discrete.results.history.time_get_action"]], "time_run_simulator (physbo.search.discrete.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[42, "physbo.search.discrete.results.history.time_run_simulator"]], "time_total (physbo.search.discrete.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[42, "physbo.search.discrete.results.history.time_total"]], "time_update_predictor (physbo.search.discrete.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[42, "physbo.search.discrete.results.history.time_update_predictor"]], "write() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.write"]], "physbo.search.discrete_multi": [[43, "module-physbo.search.discrete_multi"]], "bayes_search() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.bayes_search"]], "get_post_fcov() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.get_post_fcov"]], "get_post_fmean() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.get_post_fmean"]], "get_score() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.get_score"]], "load() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.load"]], "load_predictor_list() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.load_predictor_list"]], "load_training_list() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.load_training_list"]], "new_data_list (physbo.search.discrete_multi.policy.policy \u306e\u5c5e\u6027)": [[44, "physbo.search.discrete_multi.policy.policy.new_data_list"]], "physbo.search.discrete_multi.policy": [[44, "module-physbo.search.discrete_multi.policy"]], "policy (physbo.search.discrete_multi.policy \u306e\u30af\u30e9\u30b9)": [[44, "physbo.search.discrete_multi.policy.policy"]], "random_search() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.random_search"]], "save() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.save"]], "save_predictor_list() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.save_predictor_list"]], "save_training_list() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.save_training_list"]], "write() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.write"]], "export_pareto_front() (physbo.search.discrete_multi.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[45, "physbo.search.discrete_multi.results.history.export_pareto_front"]], "history (physbo.search.discrete_multi.results \u306e\u30af\u30e9\u30b9)": [[45, "physbo.search.discrete_multi.results.history"]], "load() (physbo.search.discrete_multi.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[45, "physbo.search.discrete_multi.results.history.load"]], "physbo.search.discrete_multi.results": [[45, "module-physbo.search.discrete_multi.results"]], "save() (physbo.search.discrete_multi.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[45, "physbo.search.discrete_multi.results.history.save"]], "time_get_action (physbo.search.discrete_multi.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[45, "physbo.search.discrete_multi.results.history.time_get_action"]], "time_run_simulator (physbo.search.discrete_multi.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[45, "physbo.search.discrete_multi.results.history.time_run_simulator"]], "time_total (physbo.search.discrete_multi.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[45, "physbo.search.discrete_multi.results.history.time_total"]], "time_update_predictor (physbo.search.discrete_multi.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[45, "physbo.search.discrete_multi.results.history.time_update_predictor"]], "write() (physbo.search.discrete_multi.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[45, "physbo.search.discrete_multi.results.history.write"]], "pareto (physbo.search.pareto \u306e\u30af\u30e9\u30b9)": [[46, "physbo.search.pareto.Pareto"]], "rectangles (physbo.search.pareto \u306e\u30af\u30e9\u30b9)": [[46, "physbo.search.pareto.Rectangles"]], "add() (physbo.search.pareto.rectangles \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Rectangles.add"]], "divide_non_dominated_region() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.divide_non_dominated_region"]], "dominate() (physbo.search.pareto \u30e2\u30b8\u30e5\u30fc\u30eb)": [[46, "physbo.search.pareto.dominate"]], "export_front() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.export_front"]], "physbo.search.pareto": [[46, "module-physbo.search.pareto"]], "set_reference_max() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.set_reference_max"]], "set_reference_min() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.set_reference_min"]], "update_front() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.update_front"]], "volume_in_dominance() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.volume_in_dominance"]], "ei() (physbo.search.score \u30e2\u30b8\u30e5\u30fc\u30eb)": [[47, "physbo.search.score.EI"]], "pi() (physbo.search.score \u30e2\u30b8\u30e5\u30fc\u30eb)": [[47, "physbo.search.score.PI"]], "ts() (physbo.search.score \u30e2\u30b8\u30e5\u30fc\u30eb)": [[47, "physbo.search.score.TS"]], "physbo.search.score": [[47, "module-physbo.search.score"]], "score() (physbo.search.score \u30e2\u30b8\u30e5\u30fc\u30eb)": [[47, "physbo.search.score.score"]], "ehvi() (physbo.search.score_multi \u30e2\u30b8\u30e5\u30fc\u30eb)": [[48, "physbo.search.score_multi.EHVI"]], "hvpi() (physbo.search.score_multi \u30e2\u30b8\u30e5\u30fc\u30eb)": [[48, "physbo.search.score_multi.HVPI"]], "ts() (physbo.search.score_multi \u30e2\u30b8\u30e5\u30fc\u30eb)": [[48, "physbo.search.score_multi.TS"]], "physbo.search.score_multi": [[48, "module-physbo.search.score_multi"]], "score() (physbo.search.score_multi \u30e2\u30b8\u30e5\u30fc\u30eb)": [[48, "physbo.search.score_multi.score"]], "is_learning() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.is_learning"]], "length_vector() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.length_vector"]], "physbo.search.utility": [[49, "module-physbo.search.utility"]], "show_interactive_mode() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.show_interactive_mode"]], "show_search_results() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.show_search_results"]], "show_search_results_mo() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.show_search_results_mo"]], "show_start_message_multi_search() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.show_start_message_multi_search"]], "add() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.add"]], "add_x() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.add_X"]], "add_z() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.add_Z"]], "add_t() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.add_t"]], "delete() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.delete"]], "delete_x() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.delete_X"]], "delete_z() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.delete_Z"]], "delete_t() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.delete_t"]], "get_subset() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.get_subset"]], "load() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.load"]], "physbo.variable": [[50, "module-physbo.variable"]], "save() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.save"]], "variable (physbo.variable \u306e\u30af\u30e9\u30b9)": [[50, "physbo.variable.variable"]]}}) \ No newline at end of file +Search.setIndex({"alltitles": {"1\u3064\u76ee\u306e\u76ee\u7684\u95a2\u6570": [[59, "1\u3064\u76ee\u306e\u76ee\u7684\u95a2\u6570"]], "2\u3064\u76ee\u306e\u76ee\u7684\u95a2\u6570": [[59, "2\u3064\u76ee\u306e\u76ee\u7684\u95a2\u6570"]], "Contents:": [[52, null], [55, null]], "EHVI (Expected Hyper-Volume Improvement)": [[59, "EHVI-(Expected-Hyper-Volume-Improvement)"]], "HVPI (HyperVolume-based Probability of Improvement)": [[59, "HVPI-(HyperVolume-based-Probability-of-Improvement)"]], "Module contents": [[3, "module-physbo"], [4, "module-physbo.blm"], [5, "module-physbo.blm.basis"], [7, "module-physbo.blm.core"], [9, "module-physbo.blm.inf"], [11, "module-physbo.blm.lik"], [15, "module-physbo.blm.prior"], [17, "module-physbo.gp"], [18, "module-physbo.gp.core"], [22, "module-physbo.gp.cov"], [24, "module-physbo.gp.inf"], [26, "module-physbo.gp.lik"], [28, "module-physbo.gp.mean"], [32, "module-physbo.misc"], [36, "module-physbo.opt"], [39, "module-physbo.search"], [40, "module-physbo.search.discrete"], [43, "module-physbo.search.discrete_multi"]], "PHYSBO \u304b\u3089\u6b21\u306b\u5b9f\u884c\u3059\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u53d6\u5f97": [[61, "PHYSBO-\u304b\u3089\u6b21\u306b\u5b9f\u884c\u3059\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u53d6\u5f97"]], "PHYSBO \u3068\u306f": [[54, "physbo"]], "PHYSBO \u306e\u57fa\u672c": [[57, "PHYSBO-\u306e\u57fa\u672c"]], "PHYSBO \u306e\u5f15\u7528": [[54, "id3"]], "PHYSBO\u306b\u3088\u308b\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u9ad8\u901f\u5316": [[1, "physbo"]], "PHYSBO\u306e\u57fa\u672c\u69cb\u9020": [[53, "physbo"]], "Submodules": [[3, "submodules"], [4, "submodules"], [5, "submodules"], [7, "submodules"], [9, "submodules"], [11, "submodules"], [15, "submodules"], [17, "submodules"], [18, "submodules"], [22, "submodules"], [24, "submodules"], [26, "submodules"], [28, "submodules"], [32, "submodules"], [36, "submodules"], [39, "submodules"], [40, "submodules"], [43, "submodules"]], "Subpackages": [[3, "subpackages"], [4, "subpackages"], [17, "subpackages"], [39, "subpackages"]], "TS (Thompson Sampling)": [[59, "TS-(Thompson-Sampling)"]], "Welcome to PHYSBO's documentation!": [[52, "welcome-to-physbo-s-documentation"]], "action ID(\u30d1\u30e9\u30e1\u30fc\u30bf)\u3068\u8a55\u4fa1\u5024\u3092PHYSBO\u306b\u767b\u9332": [[61, "action-ID(\u30d1\u30e9\u30e1\u30fc\u30bf)\u3068\u8a55\u4fa1\u5024\u3092PHYSBO\u306b\u767b\u9332"]], "physbo": [[2, "physbo"]], "physbo package": [[3, "physbo-package"]], "physbo.blm package": [[4, "physbo-blm-package"]], "physbo.blm.basis package": [[5, "physbo-blm-basis-package"]], "physbo.blm.basis.fourier module": [[6, "module-physbo.blm.basis.fourier"]], "physbo.blm.core package": [[7, "physbo-blm-core-package"]], "physbo.blm.core.model module": [[8, "module-physbo.blm.core.model"]], "physbo.blm.inf package": [[9, "physbo-blm-inf-package"]], "physbo.blm.inf.exact module": [[10, "module-physbo.blm.inf.exact"]], "physbo.blm.lik package": [[11, "physbo-blm-lik-package"]], "physbo.blm.lik.gauss module": [[12, "module-physbo.blm.lik.gauss"]], "physbo.blm.lik.linear module": [[13, "module-physbo.blm.lik.linear"]], "physbo.blm.predictor module": [[14, "module-physbo.blm.predictor"]], "physbo.blm.prior package": [[15, "physbo-blm-prior-package"]], "physbo.blm.prior.gauss module": [[16, "module-physbo.blm.prior.gauss"]], "physbo.gp package": [[17, "physbo-gp-package"]], "physbo.gp.core package": [[18, "physbo-gp-core-package"]], "physbo.gp.core.learning module": [[19, "module-physbo.gp.core.learning"]], "physbo.gp.core.model module": [[20, "module-physbo.gp.core.model"]], "physbo.gp.core.prior module": [[21, "module-physbo.gp.core.prior"]], "physbo.gp.cov package": [[22, "physbo-gp-cov-package"]], "physbo.gp.cov.gauss module": [[23, "module-physbo.gp.cov.gauss"]], "physbo.gp.inf package": [[24, "physbo-gp-inf-package"]], "physbo.gp.inf.exact module": [[25, "module-physbo.gp.inf.exact"]], "physbo.gp.lik package": [[26, "physbo-gp-lik-package"]], "physbo.gp.lik.gauss module": [[27, "module-physbo.gp.lik.gauss"]], "physbo.gp.mean package": [[28, "physbo-gp-mean-package"]], "physbo.gp.mean.const module": [[29, "module-physbo.gp.mean.const"]], "physbo.gp.mean.zero module": [[30, "module-physbo.gp.mean.zero"]], "physbo.gp.predictor module": [[31, "module-physbo.gp.predictor"]], "physbo.misc package": [[32, "physbo-misc-package"]], "physbo.misc.centering module": [[33, "module-physbo.misc.centering"]], "physbo.misc.gauss_elim module": [[34, "module-physbo.misc.gauss_elim"]], "physbo.misc.set_config module": [[35, "module-physbo.misc.set_config"]], "physbo.opt package": [[36, "physbo-opt-package"]], "physbo.opt.adam module": [[37, "module-physbo.opt.adam"]], "physbo.predictor module": [[38, "module-physbo.predictor"]], "physbo.search package": [[39, "physbo-search-package"]], "physbo.search.discrete package": [[40, "physbo-search-discrete-package"]], "physbo.search.discrete.policy module": [[41, "module-physbo.search.discrete.policy"]], "physbo.search.discrete.results module": [[42, "module-physbo.search.discrete.results"]], "physbo.search.discrete_multi package": [[43, "physbo-search-discrete-multi-package"]], "physbo.search.discrete_multi.policy module": [[44, "module-physbo.search.discrete_multi.policy"]], "physbo.search.discrete_multi.results module": [[45, "module-physbo.search.discrete_multi.results"]], "physbo.search.pareto module": [[46, "module-physbo.search.pareto"]], "physbo.search.score module": [[47, "module-physbo.search.score"]], "physbo.search.score_multi module": [[48, "module-physbo.search.score_multi"]], "physbo.search.utility module": [[49, "module-physbo.search.utility"]], "physbo.variable module": [[50, "module-physbo.variable"]], "policy \u306e\u30bb\u30c3\u30c8": [[57, "policy-\u306e\u30bb\u30c3\u30c8"], [59, "policy-\u306e\u30bb\u30c3\u30c8"]], "simulator \u306e\u5b9a\u7fa9": [[58, "simulator-\u306e\u5b9a\u7fa9"], [59, "simulator-\u306e\u5b9a\u7fa9"], [60, "simulator-\u306e\u5b9a\u7fa9"]], "simulator\u30af\u30e9\u30b9\u306e\u5b9a\u7fa9": [[57, "simulator\u30af\u30e9\u30b9\u306e\u5b9a\u7fa9"], [62, "simulator\u30af\u30e9\u30b9\u306e\u5b9a\u7fa9"], [62, "id2"]], "\u304a\u554f\u3044\u5408\u308f\u305b": [[51, "id1"]], "\u306f\u3058\u3081\u306b": [[54, "id1"], [57, "\u306f\u3058\u3081\u306b"]], "\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0": [[1, "chap-algorithm"]], "\u30a2\u30f3\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": [[53, "id5"]], "\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": [[53, "id2"]], "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306b\u5b9f\u884c\u3059\u308b": [[58, "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306b\u5b9f\u884c\u3059\u308b"]], "\u30ac\u30a6\u30b9\u904e\u7a0b": [[56, "\u30ac\u30a6\u30b9\u904e\u7a0b"]], "\u30ac\u30a6\u30b9\u904e\u7a0b\u306e\u5b66\u7fd2\u3068\u4e88\u6e2c": [[56, "\u30ac\u30a6\u30b9\u904e\u7a0b\u306e\u5b66\u7fd2\u3068\u4e88\u6e2c"]], "\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u30fb\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": [[53, "id4"]], "\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb": [[55, "id1"]], "\u30c6\u30b9\u30c8\u95a2\u6570": [[59, "\u30c6\u30b9\u30c8\u95a2\u6570"]], "\u30d1\u30ec\u30fc\u30c8\u89e3\u306e\u30d7\u30ed\u30c3\u30c8": [[59, "\u30d1\u30ec\u30fc\u30c8\u89e3\u306e\u30d7\u30ed\u30c3\u30c8"], [59, "id15"], [59, "id17"]], "\u30d1\u30ec\u30fc\u30c8\u89e3\u306e\u53d6\u5f97": [[59, "\u30d1\u30ec\u30fc\u30c8\u89e3\u306e\u53d6\u5f97"]], "\u30d9\u30a4\u30ba\u6700\u9069\u5316": [[1, "id3"], [57, "\u30d9\u30a4\u30ba\u6700\u9069\u5316"], [59, "\u30d9\u30a4\u30ba\u6700\u9069\u5316"], [62, "\u30d9\u30a4\u30ba\u6700\u9069\u5316"]], "\u30e9\u30a4\u30bb\u30f3\u30b9": [[54, "id5"]], "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1": [[57, "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1"], [59, "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1"], [62, "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1"]], "\u4e26\u5217\u5316": [[57, "\u4e26\u5217\u5316"]], "\u4e2d\u65ad\u3068\u518d\u958b": [[58, "\u4e2d\u65ad\u3068\u518d\u958b"]], "\u4e3b\u306a\u958b\u767a\u8005": [[54, "id4"]], "\u4e8b\u524d\u306b\u8a08\u7b97\u3057\u305f\u30c7\u30fc\u30bf\u306e\u7528\u610f": [[61, "\u4e8b\u524d\u306b\u8a08\u7b97\u3057\u305f\u30c7\u30fc\u30bf\u306e\u7528\u610f"]], "\u4ed8\u9332\uff1a\u5168\u63a2\u7d22": [[59, "\u4ed8\u9332\uff1a\u5168\u63a2\u7d22"]], "\u52a3\u89e3\u9818\u57df (dominated region) \u306e\u4f53\u7a4d\u3092\u8a08\u7b97": [[59, "\u52a3\u89e3\u9818\u57df-(dominated-region)-\u306e\u4f53\u7a4d\u3092\u8a08\u7b97"]], "\u52a3\u89e3\u9818\u57df\u4f53\u7a4d": [[59, "\u52a3\u89e3\u9818\u57df\u4f53\u7a4d"], [59, "id16"], [59, "id18"]], "\u56de\u5e30": [[57, "\u56de\u5e30"]], "\u57fa\u672c\u7684\u306a\u4f7f\u7528\u65b9\u6cd5": [[53, "id1"]], "\u591a\u76ee\u7684\u6700\u9069\u5316": [[59, "\u591a\u76ee\u7684\u6700\u9069\u5316"]], "\u5b66\u7fd2\u30c7\u30fc\u30bf\u306e\u5b9a\u7fa9": [[56, "\u5b66\u7fd2\u30c7\u30fc\u30bf\u306e\u5b9a\u7fa9"]], "\u5b9f\u884c\u74b0\u5883\u30fb\u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8": [[53, "id3"]], "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099": [[56, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [57, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [58, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [59, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [60, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"], [61, "\u63a2\u7d22\u5019\u88dc\u30c7\u30fc\u30bf\u306e\u6e96\u5099"]], "\u63a2\u7d22\u7a7a\u9593\u306e\u5b9a\u7fa9": [[62, "\u63a2\u7d22\u7a7a\u9593\u306e\u5b9a\u7fa9"]], "\u65e2\u5b58\u306e\u8a08\u7b97\u7d50\u679c\u3092\u8aad\u307f\u8fbc\u3093\u3067\u5b9f\u884c\u3059\u308b": [[61, "\u65e2\u5b58\u306e\u8a08\u7b97\u7d50\u679c\u3092\u8aad\u307f\u8fbc\u3093\u3067\u5b9f\u884c\u3059\u308b"]], "\u6700\u9069\u5316\u306e\u5b9f\u884c": [[57, "\u6700\u9069\u5316\u306e\u5b9f\u884c"], [58, "\u6700\u9069\u5316\u306e\u5b9f\u884c"], [59, "\u6700\u9069\u5316\u306e\u5b9f\u884c"], [60, "\u6700\u9069\u5316\u306e\u5b9f\u884c"]], "\u7372\u5f97\u95a2\u6570": [[57, "\u7372\u5f97\u95a2\u6570"]], "\u7d50\u679c\u306e\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba": [[57, "\u7d50\u679c\u306e\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba"]], "\u7d50\u679c\u306e\u78ba\u8a8d": [[57, "\u7d50\u679c\u306e\u78ba\u8a8d"], [59, "\u7d50\u679c\u306e\u78ba\u8a8d"], [60, "\u7d50\u679c\u306e\u78ba\u8a8d"]], "\u7d50\u679c\u8868\u793a": [[62, "\u7d50\u679c\u8868\u793a"]], "\u8907\u6570\u5019\u88dc\u3092\u4e00\u5ea6\u306b\u63a2\u7d22\u3059\u308b": [[60, "\u8907\u6570\u5019\u88dc\u3092\u4e00\u5ea6\u306b\u63a2\u7d22\u3059\u308b"]], "\u89e3\uff08\u8a55\u4fa1\u5024\uff09\u306e\u30d7\u30ed\u30c3\u30c8": [[59, "\u89e3\uff08\u8a55\u4fa1\u5024\uff09\u306e\u30d7\u30ed\u30c3\u30c8"]], "\u8a08\u7b97\u306e\u6d41\u308c": [[53, "id6"]], "\u8a13\u7df4\u6e08\u307f\u30e2\u30c7\u30eb\u306b\u3088\u308b\u4e88\u6e2c": [[56, "\u8a13\u7df4\u6e08\u307f\u30e2\u30c7\u30eb\u306b\u3088\u308b\u4e88\u6e2c"]], "\u8b1d\u8f9e": [[0, "id1"]], "\u95a2\u6570\u306e\u30d7\u30ed\u30c3\u30c8": [[59, "\u95a2\u6570\u306e\u30d7\u30ed\u30c3\u30c8"]]}, "docnames": ["acknowledgement", "algorithm", "api/modules", "api/physbo", "api/physbo.blm", "api/physbo.blm.basis", "api/physbo.blm.basis.fourier", "api/physbo.blm.core", "api/physbo.blm.core.model", "api/physbo.blm.inf", "api/physbo.blm.inf.exact", "api/physbo.blm.lik", "api/physbo.blm.lik.gauss", "api/physbo.blm.lik.linear", "api/physbo.blm.predictor", "api/physbo.blm.prior", "api/physbo.blm.prior.gauss", "api/physbo.gp", "api/physbo.gp.core", "api/physbo.gp.core.learning", "api/physbo.gp.core.model", "api/physbo.gp.core.prior", "api/physbo.gp.cov", "api/physbo.gp.cov.gauss", "api/physbo.gp.inf", "api/physbo.gp.inf.exact", "api/physbo.gp.lik", "api/physbo.gp.lik.gauss", "api/physbo.gp.mean", "api/physbo.gp.mean.const", "api/physbo.gp.mean.zero", "api/physbo.gp.predictor", "api/physbo.misc", "api/physbo.misc.centering", "api/physbo.misc.gauss_elim", "api/physbo.misc.set_config", "api/physbo.opt", "api/physbo.opt.adam", "api/physbo.predictor", "api/physbo.search", "api/physbo.search.discrete", "api/physbo.search.discrete.policy", "api/physbo.search.discrete.results", "api/physbo.search.discrete_multi", "api/physbo.search.discrete_multi.policy", "api/physbo.search.discrete_multi.results", "api/physbo.search.pareto", "api/physbo.search.score", "api/physbo.search.score_multi", "api/physbo.search.utility", "api/physbo.variable", "contact", "index", "install", "introduction", "notebook/index", "notebook/tutorial_Gaussian_process", "notebook/tutorial_basic", "notebook/tutorial_interactive_mode", "notebook/tutorial_multi_objective", "notebook/tutorial_multi_probe", "notebook/tutorial_once_mode", "notebook/tutorial_simulator"], "envversion": {"nbsphinx": 4, "sphinx": 61, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1}, "filenames": ["acknowledgement.rst", "algorithm.rst", "api/modules.rst", "api/physbo.rst", "api/physbo.blm.rst", "api/physbo.blm.basis.rst", "api/physbo.blm.basis.fourier.rst", "api/physbo.blm.core.rst", "api/physbo.blm.core.model.rst", "api/physbo.blm.inf.rst", "api/physbo.blm.inf.exact.rst", "api/physbo.blm.lik.rst", "api/physbo.blm.lik.gauss.rst", "api/physbo.blm.lik.linear.rst", "api/physbo.blm.predictor.rst", "api/physbo.blm.prior.rst", "api/physbo.blm.prior.gauss.rst", "api/physbo.gp.rst", "api/physbo.gp.core.rst", "api/physbo.gp.core.learning.rst", "api/physbo.gp.core.model.rst", "api/physbo.gp.core.prior.rst", "api/physbo.gp.cov.rst", "api/physbo.gp.cov.gauss.rst", "api/physbo.gp.inf.rst", "api/physbo.gp.inf.exact.rst", "api/physbo.gp.lik.rst", "api/physbo.gp.lik.gauss.rst", "api/physbo.gp.mean.rst", "api/physbo.gp.mean.const.rst", "api/physbo.gp.mean.zero.rst", "api/physbo.gp.predictor.rst", "api/physbo.misc.rst", "api/physbo.misc.centering.rst", "api/physbo.misc.gauss_elim.rst", "api/physbo.misc.set_config.rst", "api/physbo.opt.rst", "api/physbo.opt.adam.rst", "api/physbo.predictor.rst", "api/physbo.search.rst", "api/physbo.search.discrete.rst", "api/physbo.search.discrete.policy.rst", "api/physbo.search.discrete.results.rst", "api/physbo.search.discrete_multi.rst", "api/physbo.search.discrete_multi.policy.rst", "api/physbo.search.discrete_multi.results.rst", "api/physbo.search.pareto.rst", "api/physbo.search.score.rst", "api/physbo.search.score_multi.rst", "api/physbo.search.utility.rst", "api/physbo.variable.rst", "contact.rst", "index.rst", "install.rst", "introduction.rst", "notebook/index.rst", "notebook/tutorial_Gaussian_process.ipynb", "notebook/tutorial_basic.ipynb", "notebook/tutorial_interactive_mode.ipynb", "notebook/tutorial_multi_objective.ipynb", "notebook/tutorial_multi_probe.ipynb", "notebook/tutorial_once_mode.ipynb", "notebook/tutorial_simulator.ipynb"], "indexentries": {"_init_params (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear._init_params", false]], "adam (physbo.gp.core.learning \u306e\u30af\u30e9\u30b9)": [[19, "physbo.gp.core.learning.adam", false]], "adam (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.adam", false]], "adam (physbo.opt.adam \u306e\u30af\u30e9\u30b9)": [[37, "physbo.opt.adam.adam", false]], "add() (physbo.search.pareto.rectangles \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Rectangles.add", false]], "add() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.add", false]], "add_t() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.add_t", false]], "add_x() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.add_X", false]], "add_z() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.add_Z", false]], "alpha (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.alpha", false]], "base_predictor (physbo.predictor \u306e\u30af\u30e9\u30b9)": [[38, "physbo.predictor.base_predictor", false]], "basis (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear.basis", false]], "batch (physbo.gp.core.learning \u306e\u30af\u30e9\u30b9)": [[19, "physbo.gp.core.learning.batch", false]], "batch (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.batch", false]], "bayes_search() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.bayes_search", false]], "bayes_search() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.bayes_search", false]], "beta (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.beta", false]], "bias (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear.bias", false]], "blm (physbo.blm.predictor.predictor \u306e\u5c5e\u6027)": [[14, "physbo.blm.predictor.predictor.blm", false]], "boolean() (physbo.misc.set_config \u30e2\u30b8\u30e5\u30fc\u30eb)": [[35, "physbo.misc.set_config.boolean", false]], "cat_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.cat_params", false]], "cat_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.cat_params", false]], "cat_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.cat_params", false]], "centering() (physbo.misc.centering \u30e2\u30b8\u30e5\u30fc\u30eb)": [[33, "physbo.misc.centering.centering", false]], "config (physbo.blm.predictor.predictor \u306e\u5c5e\u6027)": [[14, "physbo.blm.predictor.predictor.config", false]], "const (physbo.gp.mean.const \u306e\u30af\u30e9\u30b9)": [[29, "physbo.gp.mean.const.const", false]], "cov (physbo.blm.lik.gauss.gauss \u306e\u5c5e\u6027)": [[12, "physbo.blm.lik.gauss.gauss.cov", false]], "cov (physbo.blm.prior.gauss.gauss \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.gauss.cov", false]], "cov_const (physbo.blm.prior.gauss \u306e\u30af\u30e9\u30b9)": [[16, "physbo.blm.prior.gauss.cov_const", false]], "decomp_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.decomp_params", false]], "decomp_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.decomp_params", false]], "decomp_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.decomp_params", false]], "delete() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.delete", false]], "delete_stats() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.delete_stats", false]], "delete_stats() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.delete_stats", false]], "delete_stats() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.delete_stats", false]], "delete_t() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.delete_t", false]], "delete_x() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.delete_X", false]], "delete_z() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.delete_Z", false]], "disp_marlik() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.disp_marlik", false]], "divide_non_dominated_region() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.divide_non_dominated_region", false]], "dominate() (physbo.search.pareto \u30e2\u30b8\u30e5\u30fc\u30eb)": [[46, "physbo.search.pareto.dominate", false]], "ehvi() (physbo.search.score_multi \u30e2\u30b8\u30e5\u30fc\u30eb)": [[48, "physbo.search.score_multi.EHVI", false]], "ei() (physbo.search.score \u30e2\u30b8\u30e5\u30fc\u30eb)": [[47, "physbo.search.score.EI", false]], "epoch (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.epoch", false]], "epsilon (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.epsilon", false]], "eval_marlik() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.eval_marlik", false]], "eval_marlik() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.eval_marlik", false]], "export_all_sequence_best_fx() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.export_all_sequence_best_fx", false]], "export_blm() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.export_blm", false]], "export_front() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.export_front", false]], "export_history() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.export_history", false]], "export_pareto_front() (physbo.search.discrete_multi.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[45, "physbo.search.discrete_multi.results.history.export_pareto_front", false]], "export_predictor() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.export_predictor", false]], "export_sequence_best_fx() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.export_sequence_best_fx", false]], "export_training() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.export_training", false]], "fit() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.fit", false]], "fit() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.fit", false]], "fit() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.fit", false]], "fit() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.fit", false]], "fourier (physbo.blm.basis.fourier \u306e\u30af\u30e9\u30b9)": [[6, "physbo.blm.basis.fourier.fourier", false]], "gamma (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.gamma", false]], "gauss (physbo.blm.lik.gauss \u306e\u30af\u30e9\u30b9)": [[12, "physbo.blm.lik.gauss.gauss", false]], "gauss (physbo.blm.prior.gauss \u306e\u30af\u30e9\u30b9)": [[16, "physbo.blm.prior.gauss.gauss", false]], "gauss (physbo.gp.cov.gauss \u306e\u30af\u30e9\u30b9)": [[23, "physbo.gp.cov.gauss.gauss", false]], "gauss (physbo.gp.lik.gauss \u306e\u30af\u30e9\u30b9)": [[27, "physbo.gp.lik.gauss.gauss", false]], "gauss_elim() (physbo.misc.gauss_elim \u30e2\u30b8\u30e5\u30fc\u30eb)": [[34, "physbo.misc.gauss_elim.gauss_elim", false]], "get_basis() (physbo.blm.basis.fourier.fourier \u306e\u30e1\u30bd\u30c3\u30c9)": [[6, "physbo.blm.basis.fourier.fourier.get_basis", false]], "get_basis() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.get_basis", false]], "get_basis() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_basis", false]], "get_basis() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_basis", false]], "get_basis() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_basis", false]], "get_cand_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_cand_params", false]], "get_cand_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.get_cand_params", false]], "get_cand_params() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.get_cand_params", false]], "get_cand_params() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.get_cand_params", false]], "get_cov() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.get_cov", false]], "get_cov() (physbo.blm.prior.gauss.cov_const \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.cov_const.get_cov", false]], "get_cov() (physbo.blm.prior.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.gauss.get_cov", false]], "get_cov() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.get_cov", false]], "get_cov() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.get_cov", false]], "get_cov() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.get_cov", false]], "get_grad() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.get_grad", false]], "get_grad() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.get_grad", false]], "get_grad() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.get_grad", false]], "get_grad() (physbo.gp.mean.zero.zero \u306e\u30e1\u30bd\u30c3\u30c9)": [[30, "physbo.gp.mean.zero.zero.get_grad", false]], "get_grad_cov() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.get_grad_cov", false]], "get_grad_marlik() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_grad_marlik", false]], "get_grad_marlik() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.get_grad_marlik", false]], "get_grad_mean() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.get_grad_mean", false]], "get_mean() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.get_mean", false]], "get_mean() (physbo.blm.lik.linear.linear \u306e\u30e1\u30bd\u30c3\u30c9)": [[13, "physbo.blm.lik.linear.linear.get_mean", false]], "get_mean() (physbo.blm.prior.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.gauss.get_mean", false]], "get_mean() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.get_mean", false]], "get_mean() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.get_mean", false]], "get_mean() (physbo.gp.mean.zero.zero \u306e\u30e1\u30bd\u30c3\u30c9)": [[30, "physbo.gp.mean.zero.zero.get_mean", false]], "get_one_update() (physbo.gp.core.learning.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.adam.get_one_update", false]], "get_one_update() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.get_one_update", false]], "get_params_bound() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_params_bound", false]], "get_params_bound() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.get_params_bound", false]], "get_params_bound() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.get_params_bound", false]], "get_params_bound() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.get_params_bound", false]], "get_post_fcov() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.get_post_fcov", false]], "get_post_fcov() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.get_post_fcov", false]], "get_post_fcov() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_post_fcov", false]], "get_post_fcov() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_post_fcov", false]], "get_post_fcov() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.get_post_fcov", false]], "get_post_fcov() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_post_fcov", false]], "get_post_fcov() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_fcov", false]], "get_post_fcov() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.get_post_fcov", false]], "get_post_fcov() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.get_post_fcov", false]], "get_post_fmean() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.get_post_fmean", false]], "get_post_fmean() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.get_post_fmean", false]], "get_post_fmean() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_post_fmean", false]], "get_post_fmean() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.get_post_fmean", false]], "get_post_fmean() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.get_post_fmean", false]], "get_post_fmean() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_post_fmean", false]], "get_post_fmean() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_fmean", false]], "get_post_fmean() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.get_post_fmean", false]], "get_post_fmean() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.get_post_fmean", false]], "get_post_params() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_post_params", false]], "get_post_params() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_post_params", false]], "get_post_params() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_params", false]], "get_post_params_mean() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.get_post_params_mean", false]], "get_post_params_mean() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.get_post_params_mean", false]], "get_post_params_samples() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_params_samples", false]], "get_post_samples() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_post_samples", false]], "get_post_samples() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_post_samples", false]], "get_post_samples() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_post_samples", false]], "get_prec() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.get_prec", false]], "get_prec() (physbo.blm.prior.gauss.cov_const \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.cov_const.get_prec", false]], "get_prec() (physbo.blm.prior.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.gauss.get_prec", false]], "get_predict_samples() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.get_predict_samples", false]], "get_predict_samples() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.get_predict_samples", false]], "get_predict_samples() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.get_predict_samples", false]], "get_score() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.get_score", false]], "get_score() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.get_score", false]], "get_subset() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.get_subset", false]], "grad (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.grad", false]], "history (physbo.search.discrete.results \u306e\u30af\u30e9\u30b9)": [[42, "physbo.search.discrete.results.history", false]], "history (physbo.search.discrete_multi.results \u306e\u30af\u30e9\u30b9)": [[45, "physbo.search.discrete_multi.results.history", false]], "hvpi() (physbo.search.score_multi \u30e2\u30b8\u30e5\u30fc\u30eb)": [[48, "physbo.search.score_multi.HVPI", false]], "init_params() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.init_params", false]], "init_params_search() (physbo.gp.core.learning.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.batch.init_params_search", false]], "init_params_search() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.init_params_search", false]], "is_learning() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.is_learning", false]], "learning (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.learning", false]], "length_vector() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.length_vector", false]], "lik (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.lik", false]], "linear (physbo.blm.lik.gauss.gauss \u306e\u5c5e\u6027)": [[12, "physbo.blm.lik.gauss.gauss.linear", false]], "linear (physbo.blm.lik.linear \u306e\u30af\u30e9\u30b9)": [[13, "physbo.blm.lik.linear.linear", false]], "load() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.load", false]], "load() (physbo.misc.set_config.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.adam.load", false]], "load() (physbo.misc.set_config.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.batch.load", false]], "load() (physbo.misc.set_config.learning \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.learning.load", false]], "load() (physbo.misc.set_config.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.online.load", false]], "load() (physbo.misc.set_config.search \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.search.load", false]], "load() (physbo.misc.set_config.set_config \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.set_config.load", false]], "load() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.load", false]], "load() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.load", false]], "load() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.load", false]], "load() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.load", false]], "load() (physbo.search.discrete_multi.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[45, "physbo.search.discrete_multi.results.history.load", false]], "load() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.load", false]], "load_predictor_list() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.load_predictor_list", false]], "load_training_list() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.load_training_list", false]], "m (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.m", false]], "max_epoch (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.max_epoch", false]], "method (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.method", false]], "model (physbo.blm.core.model \u306e\u30af\u30e9\u30b9)": [[8, "physbo.blm.core.model.model", false]], "model (physbo.gp.core.model \u306e\u30af\u30e9\u30b9)": [[20, "physbo.gp.core.model.model", false]], "module": [[3, "module-physbo", false], [4, "module-physbo.blm", false], [5, "module-physbo.blm.basis", false], [6, "module-physbo.blm.basis.fourier", false], [7, "module-physbo.blm.core", false], [8, "module-physbo.blm.core.model", false], [9, "module-physbo.blm.inf", false], [10, "module-physbo.blm.inf.exact", false], [11, "module-physbo.blm.lik", false], [12, "module-physbo.blm.lik.gauss", false], [13, "module-physbo.blm.lik.linear", false], [14, "module-physbo.blm.predictor", false], [15, "module-physbo.blm.prior", false], [16, "module-physbo.blm.prior.gauss", false], [17, "module-physbo.gp", false], [18, "module-physbo.gp.core", false], [19, "module-physbo.gp.core.learning", false], [20, "module-physbo.gp.core.model", false], [21, "module-physbo.gp.core.prior", false], [22, "module-physbo.gp.cov", false], [23, "module-physbo.gp.cov.gauss", false], [24, "module-physbo.gp.inf", false], [25, "module-physbo.gp.inf.exact", false], [26, "module-physbo.gp.lik", false], [27, "module-physbo.gp.lik.gauss", false], [28, "module-physbo.gp.mean", false], [29, "module-physbo.gp.mean.const", false], [30, "module-physbo.gp.mean.zero", false], [31, "module-physbo.gp.predictor", false], [32, "module-physbo.misc", false], [33, "module-physbo.misc.centering", false], [34, "module-physbo.misc.gauss_elim", false], [35, "module-physbo.misc.set_config", false], [36, "module-physbo.opt", false], [37, "module-physbo.opt.adam", false], [38, "module-physbo.predictor", false], [39, "module-physbo.search", false], [40, "module-physbo.search.discrete", false], [41, "module-physbo.search.discrete.policy", false], [42, "module-physbo.search.discrete.results", false], [43, "module-physbo.search.discrete_multi", false], [44, "module-physbo.search.discrete_multi.policy", false], [45, "module-physbo.search.discrete_multi.results", false], [46, "module-physbo.search.pareto", false], [47, "module-physbo.search.score", false], [48, "module-physbo.search.score_multi", false], [49, "module-physbo.search.utility", false], [50, "module-physbo.variable", false]], "nbasis (physbo.blm.basis.fourier.fourier \u306e\u5c5e\u6027)": [[6, "physbo.blm.basis.fourier.fourier.nbasis", false]], "nbasis (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.nbasis", false]], "nbasis (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear.nbasis", false]], "nbasis (physbo.blm.prior.gauss.gauss \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.gauss.nbasis", false]], "new_data_list (physbo.search.discrete_multi.policy.policy \u306e\u5c5e\u6027)": [[44, "physbo.search.discrete_multi.policy.policy.new_data_list", false]], "nparams (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.nparams", false]], "one_run() (physbo.gp.core.learning.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.batch.one_run", false]], "one_run() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.one_run", false]], "online (physbo.gp.core.learning \u306e\u30af\u30e9\u30b9)": [[19, "physbo.gp.core.learning.online", false]], "online (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.online", false]], "params (physbo.blm.basis.fourier.fourier \u306e\u5c5e\u6027)": [[6, "physbo.blm.basis.fourier.fourier.params", false]], "params (physbo.blm.lik.linear.linear \u306e\u5c5e\u6027)": [[13, "physbo.blm.lik.linear.linear.params", false]], "params (physbo.blm.prior.gauss.cov_const \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.cov_const.params", false]], "params (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.params", false]], "pareto (physbo.search.pareto \u306e\u30af\u30e9\u30b9)": [[46, "physbo.search.pareto.Pareto", false]], "physbo": [[3, "module-physbo", false]], "physbo.blm": [[4, "module-physbo.blm", false]], "physbo.blm.basis": [[5, "module-physbo.blm.basis", false]], "physbo.blm.basis.fourier": [[6, "module-physbo.blm.basis.fourier", false]], "physbo.blm.core": [[7, "module-physbo.blm.core", false]], "physbo.blm.core.model": [[8, "module-physbo.blm.core.model", false]], "physbo.blm.inf": [[9, "module-physbo.blm.inf", false]], "physbo.blm.inf.exact": [[10, "module-physbo.blm.inf.exact", false]], "physbo.blm.lik": [[11, "module-physbo.blm.lik", false]], "physbo.blm.lik.gauss": [[12, "module-physbo.blm.lik.gauss", false]], "physbo.blm.lik.linear": [[13, "module-physbo.blm.lik.linear", false]], "physbo.blm.predictor": [[14, "module-physbo.blm.predictor", false]], "physbo.blm.prior": [[15, "module-physbo.blm.prior", false]], "physbo.blm.prior.gauss": [[16, "module-physbo.blm.prior.gauss", false]], "physbo.gp": [[17, "module-physbo.gp", false]], "physbo.gp.core": [[18, "module-physbo.gp.core", false]], "physbo.gp.core.learning": [[19, "module-physbo.gp.core.learning", false]], "physbo.gp.core.model": [[20, "module-physbo.gp.core.model", false]], "physbo.gp.core.prior": [[21, "module-physbo.gp.core.prior", false]], "physbo.gp.cov": [[22, "module-physbo.gp.cov", false]], "physbo.gp.cov.gauss": [[23, "module-physbo.gp.cov.gauss", false]], "physbo.gp.inf": [[24, "module-physbo.gp.inf", false]], "physbo.gp.inf.exact": [[25, "module-physbo.gp.inf.exact", false]], "physbo.gp.lik": [[26, "module-physbo.gp.lik", false]], "physbo.gp.lik.gauss": [[27, "module-physbo.gp.lik.gauss", false]], "physbo.gp.mean": [[28, "module-physbo.gp.mean", false]], "physbo.gp.mean.const": [[29, "module-physbo.gp.mean.const", false]], "physbo.gp.mean.zero": [[30, "module-physbo.gp.mean.zero", false]], "physbo.gp.predictor": [[31, "module-physbo.gp.predictor", false]], "physbo.misc": [[32, "module-physbo.misc", false]], "physbo.misc.centering": [[33, "module-physbo.misc.centering", false]], "physbo.misc.gauss_elim": [[34, "module-physbo.misc.gauss_elim", false]], "physbo.misc.set_config": [[35, "module-physbo.misc.set_config", false]], "physbo.opt": [[36, "module-physbo.opt", false]], "physbo.opt.adam": [[37, "module-physbo.opt.adam", false]], "physbo.predictor": [[38, "module-physbo.predictor", false]], "physbo.search": [[39, "module-physbo.search", false]], "physbo.search.discrete": [[40, "module-physbo.search.discrete", false]], "physbo.search.discrete.policy": [[41, "module-physbo.search.discrete.policy", false]], "physbo.search.discrete.results": [[42, "module-physbo.search.discrete.results", false]], "physbo.search.discrete_multi": [[43, "module-physbo.search.discrete_multi", false]], "physbo.search.discrete_multi.policy": [[44, "module-physbo.search.discrete_multi.policy", false]], "physbo.search.discrete_multi.results": [[45, "module-physbo.search.discrete_multi.results", false]], "physbo.search.pareto": [[46, "module-physbo.search.pareto", false]], "physbo.search.score": [[47, "module-physbo.search.score", false]], "physbo.search.score_multi": [[48, "module-physbo.search.score_multi", false]], "physbo.search.utility": [[49, "module-physbo.search.utility", false]], "physbo.variable": [[50, "module-physbo.variable", false]], "pi() (physbo.search.score \u30e2\u30b8\u30e5\u30fc\u30eb)": [[47, "physbo.search.score.PI", false]], "policy (physbo.search.discrete.policy \u306e\u30af\u30e9\u30b9)": [[41, "physbo.search.discrete.policy.policy", false]], "policy (physbo.search.discrete_multi.policy \u306e\u30af\u30e9\u30b9)": [[44, "physbo.search.discrete_multi.policy.policy", false]], "post_sampling() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.post_sampling", false]], "post_sampling() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.post_sampling", false]], "prec (physbo.blm.prior.gauss.cov_const \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.cov_const.prec", false]], "predict_sampling() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.predict_sampling", false]], "predict_sampling() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.predict_sampling", false]], "predictor (physbo.blm.predictor \u306e\u30af\u30e9\u30b9)": [[14, "physbo.blm.predictor.predictor", false]], "predictor (physbo.gp.predictor \u306e\u30af\u30e9\u30b9)": [[31, "physbo.gp.predictor.predictor", false]], "prepare() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.prepare", false]], "prepare() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.prepare", false]], "prepare() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.prepare", false]], "prepare() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.prepare", false]], "prepare() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.prepare", false]], "prepare() (physbo.gp.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[25, "physbo.gp.inf.exact.prepare", false]], "prepare() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.prepare", false]], "prepare() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.prepare", false]], "print_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.print_params", false]], "print_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.print_params", false]], "prior (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.prior", false]], "prior (physbo.gp.core.prior \u306e\u30af\u30e9\u30b9)": [[21, "physbo.gp.core.prior.prior", false]], "rand_expans() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.rand_expans", false]], "random_search() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.random_search", false]], "random_search() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.random_search", false]], "rectangles (physbo.search.pareto \u306e\u30af\u30e9\u30b9)": [[46, "physbo.search.pareto.Rectangles", false]], "reset() (physbo.gp.core.learning.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.adam.reset", false]], "run() (physbo.gp.core.learning.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.batch.run", false]], "run() (physbo.gp.core.learning.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[19, "physbo.gp.core.learning.online.run", false]], "run() (physbo.opt.adam.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[37, "physbo.opt.adam.adam.run", false]], "sampling() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.sampling", false]], "sampling() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.sampling", false]], "sampling() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.sampling", false]], "sampling() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.sampling", false]], "sampling() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.sampling", false]], "save() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.save", false]], "save() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.save", false]], "save() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.save", false]], "save() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.save", false]], "save() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.save", false]], "save() (physbo.search.discrete_multi.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[45, "physbo.search.discrete_multi.results.history.save", false]], "save() (physbo.variable.variable \u306e\u30e1\u30bd\u30c3\u30c9)": [[50, "physbo.variable.variable.save", false]], "save_predictor_list() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.save_predictor_list", false]], "save_training_list() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.save_training_list", false]], "score() (physbo.search.score \u30e2\u30b8\u30e5\u30fc\u30eb)": [[47, "physbo.search.score.score", false]], "score() (physbo.search.score_multi \u30e2\u30b8\u30e5\u30fc\u30eb)": [[48, "physbo.search.score_multi.score", false]], "search (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.search", false]], "set_bias() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.set_bias", false]], "set_bias() (physbo.blm.lik.linear.linear \u306e\u30e1\u30bd\u30c3\u30c9)": [[13, "physbo.blm.lik.linear.linear.set_bias", false]], "set_config (physbo.misc.set_config \u306e\u30af\u30e9\u30b9)": [[35, "physbo.misc.set_config.set_config", false]], "set_cov_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.set_cov_params", false]], "set_mean_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.set_mean_params", false]], "set_params() (physbo.blm.basis.fourier.fourier \u306e\u30e1\u30bd\u30c3\u30c9)": [[6, "physbo.blm.basis.fourier.fourier.set_params", false]], "set_params() (physbo.blm.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[12, "physbo.blm.lik.gauss.gauss.set_params", false]], "set_params() (physbo.blm.lik.linear.linear \u306e\u30e1\u30bd\u30c3\u30c9)": [[13, "physbo.blm.lik.linear.linear.set_params", false]], "set_params() (physbo.blm.prior.gauss.cov_const \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.cov_const.set_params", false]], "set_params() (physbo.blm.prior.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[16, "physbo.blm.prior.gauss.gauss.set_params", false]], "set_params() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.set_params", false]], "set_params() (physbo.gp.core.prior.prior \u306e\u30e1\u30bd\u30c3\u30c9)": [[21, "physbo.gp.core.prior.prior.set_params", false]], "set_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.set_params", false]], "set_params() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.set_params", false]], "set_params() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.set_params", false]], "set_params() (physbo.gp.mean.zero.zero \u306e\u30e1\u30bd\u30c3\u30c9)": [[30, "physbo.gp.mean.zero.zero.set_params", false]], "set_params() (physbo.opt.adam.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[37, "physbo.opt.adam.adam.set_params", false]], "set_reference_max() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.set_reference_max", false]], "set_reference_min() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.set_reference_min", false]], "set_seed() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.set_seed", false]], "show() (physbo.blm.basis.fourier.fourier \u306e\u30e1\u30bd\u30c3\u30c9)": [[6, "physbo.blm.basis.fourier.fourier.show", false]], "show() (physbo.misc.set_config.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.adam.show", false]], "show() (physbo.misc.set_config.batch \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.batch.show", false]], "show() (physbo.misc.set_config.learning \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.learning.show", false]], "show() (physbo.misc.set_config.online \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.online.show", false]], "show() (physbo.misc.set_config.search \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.search.show", false]], "show() (physbo.misc.set_config.set_config \u306e\u30e1\u30bd\u30c3\u30c9)": [[35, "physbo.misc.set_config.set_config.show", false]], "show_interactive_mode() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.show_interactive_mode", false]], "show_search_results() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.show_search_results", false]], "show_search_results_mo() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.show_search_results_mo", false]], "show_start_message_multi_search() (physbo.search.utility \u30e2\u30b8\u30e5\u30fc\u30eb)": [[49, "physbo.search.utility.show_start_message_multi_search", false]], "sigma2 (physbo.blm.prior.gauss.cov_const \u306e\u5c5e\u6027)": [[16, "physbo.blm.prior.gauss.cov_const.sigma2", false]], "stats (physbo.blm.core.model.model \u306e\u5c5e\u6027)": [[8, "physbo.blm.core.model.model.stats", false]], "stats (physbo.blm.lik.gauss.gauss \u306e\u5c5e\u6027)": [[12, "physbo.blm.lik.gauss.gauss.stats", false]], "sub_sampling() (physbo.gp.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[20, "physbo.gp.core.model.model.sub_sampling", false]], "supp_params() (physbo.gp.cov.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[23, "physbo.gp.cov.gauss.gauss.supp_params", false]], "supp_params() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.supp_params", false]], "supp_params() (physbo.gp.mean.const.const \u306e\u30e1\u30bd\u30c3\u30c9)": [[29, "physbo.gp.mean.const.const.supp_params", false]], "time_get_action (physbo.search.discrete.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[42, "physbo.search.discrete.results.history.time_get_action", false]], "time_get_action (physbo.search.discrete_multi.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[45, "physbo.search.discrete_multi.results.history.time_get_action", false]], "time_run_simulator (physbo.search.discrete.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[42, "physbo.search.discrete.results.history.time_run_simulator", false]], "time_run_simulator (physbo.search.discrete_multi.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[45, "physbo.search.discrete_multi.results.history.time_run_simulator", false]], "time_total (physbo.search.discrete.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[42, "physbo.search.discrete.results.history.time_total", false]], "time_total (physbo.search.discrete_multi.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[45, "physbo.search.discrete_multi.results.history.time_total", false]], "time_update_predictor (physbo.search.discrete.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[42, "physbo.search.discrete.results.history.time_update_predictor", false]], "time_update_predictor (physbo.search.discrete_multi.results.history \u306e\u30d7\u30ed\u30d1\u30c6\u30a3)": [[45, "physbo.search.discrete_multi.results.history.time_update_predictor", false]], "trans_params() (physbo.gp.lik.gauss.gauss \u306e\u30e1\u30bd\u30c3\u30c9)": [[27, "physbo.gp.lik.gauss.gauss.trans_params", false]], "ts() (physbo.search.score \u30e2\u30b8\u30e5\u30fc\u30eb)": [[47, "physbo.search.score.TS", false]], "ts() (physbo.search.score_multi \u30e2\u30b8\u30e5\u30fc\u30eb)": [[48, "physbo.search.score_multi.TS", false]], "update() (physbo.blm.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[14, "physbo.blm.predictor.predictor.update", false]], "update() (physbo.gp.predictor.predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[31, "physbo.gp.predictor.predictor.update", false]], "update() (physbo.opt.adam.adam \u306e\u30e1\u30bd\u30c3\u30c9)": [[37, "physbo.opt.adam.adam.update", false]], "update() (physbo.predictor.base_predictor \u306e\u30e1\u30bd\u30c3\u30c9)": [[38, "physbo.predictor.base_predictor.update", false]], "update_front() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.update_front", false]], "update_stats() (physbo.blm.core.model.model \u306e\u30e1\u30bd\u30c3\u30c9)": [[8, "physbo.blm.core.model.model.update_stats", false]], "update_stats() (physbo.blm.inf.exact \u30e2\u30b8\u30e5\u30fc\u30eb)": [[10, "physbo.blm.inf.exact.update_stats", false]], "v (physbo.opt.adam.adam \u306e\u5c5e\u6027)": [[37, "physbo.opt.adam.adam.v", false]], "variable (physbo.variable \u306e\u30af\u30e9\u30b9)": [[50, "physbo.variable.variable", false]], "volume_in_dominance() (physbo.search.pareto.pareto \u306e\u30e1\u30bd\u30c3\u30c9)": [[46, "physbo.search.pareto.Pareto.volume_in_dominance", false]], "write() (physbo.search.discrete.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[41, "physbo.search.discrete.policy.policy.write", false]], "write() (physbo.search.discrete.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[42, "physbo.search.discrete.results.history.write", false]], "write() (physbo.search.discrete_multi.policy.policy \u306e\u30e1\u30bd\u30c3\u30c9)": [[44, "physbo.search.discrete_multi.policy.policy.write", false]], "write() (physbo.search.discrete_multi.results.history \u306e\u30e1\u30bd\u30c3\u30c9)": [[45, "physbo.search.discrete_multi.results.history.write", false]], "zero (physbo.gp.mean.zero \u306e\u30af\u30e9\u30b9)": [[30, "physbo.gp.mean.zero.zero", false]]}, "objects": {"": [[3, 0, 0, "-", "physbo"]], "physbo": [[4, 0, 0, "-", "blm"], [17, 0, 0, "-", "gp"], [32, 0, 0, "-", "misc"], [36, 0, 0, "-", "opt"], [38, 0, 0, "-", "predictor"], [39, 0, 0, "-", "search"], [50, 0, 0, "-", "variable"]], "physbo.blm": [[5, 0, 0, "-", "basis"], [7, 0, 0, "-", "core"], [9, 0, 0, "-", "inf"], [11, 0, 0, "-", "lik"], [14, 0, 0, "-", "predictor"], [15, 0, 0, "-", "prior"]], "physbo.blm.basis": [[6, 0, 0, "-", "fourier"]], "physbo.blm.basis.fourier": [[6, 1, 1, "", "fourier"]], "physbo.blm.basis.fourier.fourier": [[6, 2, 1, "", "get_basis"], [6, 3, 1, "", "nbasis"], [6, 3, 1, "", "params"], [6, 2, 1, "", "set_params"], [6, 2, 1, "", "show"]], "physbo.blm.core": [[8, 0, 0, "-", "model"]], "physbo.blm.core.model": [[8, 1, 1, "", "model"]], "physbo.blm.core.model.model": [[8, 2, 1, "", "get_post_fcov"], [8, 2, 1, "", "get_post_fmean"], [8, 2, 1, "", "get_post_params_mean"], [8, 3, 1, "", "lik"], [8, 3, 1, "", "method"], [8, 3, 1, "", "nbasis"], [8, 2, 1, "", "post_sampling"], [8, 2, 1, "", "predict_sampling"], [8, 2, 1, "", "prepare"], [8, 3, 1, "", "prior"], [8, 2, 1, "", "sampling"], [8, 3, 1, "", "stats"], [8, 2, 1, "", "update_stats"]], "physbo.blm.inf": [[10, 0, 0, "-", "exact"]], "physbo.blm.inf.exact": [[10, 4, 1, "", "get_post_fcov"], [10, 4, 1, "", "get_post_fmean"], [10, 4, 1, "", "get_post_params_mean"], [10, 4, 1, "", "prepare"], [10, 4, 1, "", "sampling"], [10, 4, 1, "", "update_stats"]], "physbo.blm.lik": [[12, 0, 0, "-", "gauss"], [13, 0, 0, "-", "linear"]], "physbo.blm.lik.gauss": [[12, 1, 1, "", "gauss"]], "physbo.blm.lik.gauss.gauss": [[12, 3, 1, "", "cov"], [12, 2, 1, "", "get_basis"], [12, 2, 1, "", "get_cov"], [12, 2, 1, "", "get_mean"], [12, 2, 1, "", "get_prec"], [12, 3, 1, "", "linear"], [12, 2, 1, "", "sampling"], [12, 2, 1, "", "set_bias"], [12, 2, 1, "", "set_params"], [12, 3, 1, "", "stats"]], "physbo.blm.lik.linear": [[13, 1, 1, "", "linear"]], "physbo.blm.lik.linear.linear": [[13, 3, 1, "", "_init_params"], [13, 3, 1, "", "basis"], [13, 3, 1, "", "bias"], [13, 2, 1, "", "get_mean"], [13, 3, 1, "", "nbasis"], [13, 3, 1, "", "params"], [13, 2, 1, "", "set_bias"], [13, 2, 1, "", "set_params"]], "physbo.blm.predictor": [[14, 1, 1, "", "predictor"]], "physbo.blm.predictor.predictor": [[14, 3, 1, "", "blm"], [14, 3, 1, "", "config"], [14, 2, 1, "", "delete_stats"], [14, 2, 1, "", "fit"], [14, 2, 1, "", "get_basis"], [14, 2, 1, "", "get_post_fcov"], [14, 2, 1, "", "get_post_fmean"], [14, 2, 1, "", "get_post_params"], [14, 2, 1, "", "get_post_samples"], [14, 2, 1, "", "get_predict_samples"], [14, 2, 1, "", "prepare"], [14, 2, 1, "", "update"]], "physbo.blm.prior": [[16, 0, 0, "-", "gauss"]], "physbo.blm.prior.gauss": [[16, 1, 1, "", "cov_const"], [16, 1, 1, "", "gauss"]], "physbo.blm.prior.gauss.cov_const": [[16, 2, 1, "", "get_cov"], [16, 2, 1, "", "get_prec"], [16, 3, 1, "", "params"], [16, 3, 1, "", "prec"], [16, 2, 1, "", "set_params"], [16, 3, 1, "", "sigma2"]], "physbo.blm.prior.gauss.gauss": [[16, 3, 1, "", "cov"], [16, 2, 1, "", "get_cov"], [16, 2, 1, "", "get_mean"], [16, 2, 1, "", "get_prec"], [16, 3, 1, "", "nbasis"], [16, 2, 1, "", "set_params"]], "physbo.gp": [[18, 0, 0, "-", "core"], [22, 0, 0, "-", "cov"], [24, 0, 0, "-", "inf"], [26, 0, 0, "-", "lik"], [28, 0, 0, "-", "mean"], [31, 0, 0, "-", "predictor"]], "physbo.gp.core": [[19, 0, 0, "-", "learning"], [20, 0, 0, "-", "model"], [21, 0, 0, "-", "prior"]], "physbo.gp.core.learning": [[19, 1, 1, "", "adam"], [19, 1, 1, "", "batch"], [19, 1, 1, "", "online"]], "physbo.gp.core.learning.adam": [[19, 2, 1, "", "get_one_update"], [19, 2, 1, "", "reset"]], "physbo.gp.core.learning.batch": [[19, 2, 1, "", "init_params_search"], [19, 2, 1, "", "one_run"], [19, 2, 1, "", "run"]], "physbo.gp.core.learning.online": [[19, 2, 1, "", "disp_marlik"], [19, 2, 1, "", "get_one_update"], [19, 2, 1, "", "init_params_search"], [19, 2, 1, "", "one_run"], [19, 2, 1, "", "run"]], "physbo.gp.core.model": [[20, 1, 1, "", "model"]], "physbo.gp.core.model.model": [[20, 2, 1, "", "cat_params"], [20, 2, 1, "", "decomp_params"], [20, 2, 1, "", "eval_marlik"], [20, 2, 1, "", "export_blm"], [20, 2, 1, "", "fit"], [20, 2, 1, "", "get_cand_params"], [20, 2, 1, "", "get_grad_marlik"], [20, 2, 1, "", "get_params_bound"], [20, 2, 1, "", "get_post_fcov"], [20, 2, 1, "", "get_post_fmean"], [20, 2, 1, "", "post_sampling"], [20, 2, 1, "", "predict_sampling"], [20, 2, 1, "", "prepare"], [20, 2, 1, "", "print_params"], [20, 2, 1, "", "set_params"], [20, 2, 1, "", "sub_sampling"]], "physbo.gp.core.prior": [[21, 1, 1, "", "prior"]], "physbo.gp.core.prior.prior": [[21, 2, 1, "", "cat_params"], [21, 2, 1, "", "decomp_params"], [21, 2, 1, "", "get_cov"], [21, 2, 1, "", "get_grad_cov"], [21, 2, 1, "", "get_grad_mean"], [21, 2, 1, "", "get_mean"], [21, 2, 1, "", "sampling"], [21, 2, 1, "", "set_cov_params"], [21, 2, 1, "", "set_mean_params"], [21, 2, 1, "", "set_params"]], "physbo.gp.cov": [[23, 0, 0, "-", "gauss"]], "physbo.gp.cov.gauss": [[23, 1, 1, "", "gauss"]], "physbo.gp.cov.gauss.gauss": [[23, 2, 1, "", "cat_params"], [23, 2, 1, "", "decomp_params"], [23, 2, 1, "", "get_cand_params"], [23, 2, 1, "", "get_cov"], [23, 2, 1, "", "get_grad"], [23, 2, 1, "", "get_params_bound"], [23, 2, 1, "", "load"], [23, 2, 1, "", "prepare"], [23, 2, 1, "", "print_params"], [23, 2, 1, "", "rand_expans"], [23, 2, 1, "", "save"], [23, 2, 1, "", "set_params"], [23, 2, 1, "", "supp_params"]], "physbo.gp.inf": [[25, 0, 0, "-", "exact"]], "physbo.gp.inf.exact": [[25, 4, 1, "", "eval_marlik"], [25, 4, 1, "", "get_grad_marlik"], [25, 4, 1, "", "get_post_fcov"], [25, 4, 1, "", "get_post_fmean"], [25, 4, 1, "", "prepare"]], "physbo.gp.lik": [[27, 0, 0, "-", "gauss"]], "physbo.gp.lik.gauss": [[27, 1, 1, "", "gauss"]], "physbo.gp.lik.gauss.gauss": [[27, 2, 1, "", "get_cand_params"], [27, 2, 1, "", "get_cov"], [27, 2, 1, "", "get_grad"], [27, 2, 1, "", "get_params_bound"], [27, 2, 1, "", "sampling"], [27, 2, 1, "", "set_params"], [27, 2, 1, "", "supp_params"], [27, 2, 1, "", "trans_params"]], "physbo.gp.mean": [[29, 0, 0, "-", "const"], [30, 0, 0, "-", "zero"]], "physbo.gp.mean.const": [[29, 1, 1, "", "const"]], "physbo.gp.mean.const.const": [[29, 2, 1, "", "get_cand_params"], [29, 2, 1, "", "get_grad"], [29, 2, 1, "", "get_mean"], [29, 2, 1, "", "get_params_bound"], [29, 2, 1, "", "init_params"], [29, 2, 1, "", "set_params"], [29, 2, 1, "", "supp_params"]], "physbo.gp.mean.zero": [[30, 1, 1, "", "zero"]], "physbo.gp.mean.zero.zero": [[30, 2, 1, "", "get_grad"], [30, 2, 1, "", "get_mean"], [30, 2, 1, "", "set_params"]], "physbo.gp.predictor": [[31, 1, 1, "", "predictor"]], "physbo.gp.predictor.predictor": [[31, 2, 1, "", "delete_stats"], [31, 2, 1, "", "fit"], [31, 2, 1, "", "get_basis"], [31, 2, 1, "", "get_post_fcov"], [31, 2, 1, "", "get_post_fmean"], [31, 2, 1, "", "get_post_params"], [31, 2, 1, "", "get_post_samples"], [31, 2, 1, "", "get_predict_samples"], [31, 2, 1, "", "prepare"], [31, 2, 1, "", "update"]], "physbo.misc": [[33, 0, 0, "-", "centering"], [34, 0, 0, "-", "gauss_elim"], [35, 0, 0, "-", "set_config"]], "physbo.misc.centering": [[33, 4, 1, "", "centering"]], "physbo.misc.gauss_elim": [[34, 4, 1, "", "gauss_elim"]], "physbo.misc.set_config": [[35, 1, 1, "", "adam"], [35, 1, 1, "", "batch"], [35, 4, 1, "", "boolean"], [35, 1, 1, "", "learning"], [35, 1, 1, "", "online"], [35, 1, 1, "", "search"], [35, 1, 1, "", "set_config"]], "physbo.misc.set_config.adam": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.batch": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.learning": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.online": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.search": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.misc.set_config.set_config": [[35, 2, 1, "", "load"], [35, 2, 1, "", "show"]], "physbo.opt": [[37, 0, 0, "-", "adam"]], "physbo.opt.adam": [[37, 1, 1, "", "adam"]], "physbo.opt.adam.adam": [[37, 3, 1, "", "alpha"], [37, 3, 1, "", "beta"], [37, 3, 1, "", "epoch"], [37, 3, 1, "", "epsilon"], [37, 3, 1, "", "gamma"], [37, 3, 1, "", "grad"], [37, 3, 1, "", "m"], [37, 3, 1, "", "max_epoch"], [37, 3, 1, "", "nparams"], [37, 3, 1, "", "params"], [37, 2, 1, "", "run"], [37, 2, 1, "", "set_params"], [37, 2, 1, "", "update"], [37, 3, 1, "", "v"]], "physbo.predictor": [[38, 1, 1, "", "base_predictor"]], "physbo.predictor.base_predictor": [[38, 2, 1, "", "delete_stats"], [38, 2, 1, "", "fit"], [38, 2, 1, "", "get_basis"], [38, 2, 1, "", "get_post_fcov"], [38, 2, 1, "", "get_post_fmean"], [38, 2, 1, "", "get_post_params"], [38, 2, 1, "", "get_post_params_samples"], [38, 2, 1, "", "get_post_samples"], [38, 2, 1, "", "get_predict_samples"], [38, 2, 1, "", "load"], [38, 2, 1, "", "prepare"], [38, 2, 1, "", "save"], [38, 2, 1, "", "update"]], "physbo.search": [[40, 0, 0, "-", "discrete"], [43, 0, 0, "-", "discrete_multi"], [46, 0, 0, "-", "pareto"], [47, 0, 0, "-", "score"], [48, 0, 0, "-", "score_multi"], [49, 0, 0, "-", "utility"]], "physbo.search.discrete": [[41, 0, 0, "-", "policy"], [42, 0, 0, "-", "results"]], "physbo.search.discrete.policy": [[41, 1, 1, "", "policy"]], "physbo.search.discrete.policy.policy": [[41, 2, 1, "", "bayes_search"], [41, 2, 1, "", "export_history"], [41, 2, 1, "", "export_predictor"], [41, 2, 1, "", "export_training"], [41, 2, 1, "", "get_post_fcov"], [41, 2, 1, "", "get_post_fmean"], [41, 2, 1, "", "get_score"], [41, 2, 1, "", "load"], [41, 2, 1, "", "random_search"], [41, 2, 1, "", "save"], [41, 2, 1, "", "set_seed"], [41, 2, 1, "", "write"]], "physbo.search.discrete.results": [[42, 1, 1, "", "history"]], "physbo.search.discrete.results.history": [[42, 2, 1, "", "export_all_sequence_best_fx"], [42, 2, 1, "", "export_sequence_best_fx"], [42, 2, 1, "", "load"], [42, 2, 1, "", "save"], [42, 5, 1, "", "time_get_action"], [42, 5, 1, "", "time_run_simulator"], [42, 5, 1, "", "time_total"], [42, 5, 1, "", "time_update_predictor"], [42, 2, 1, "", "write"]], "physbo.search.discrete_multi": [[44, 0, 0, "-", "policy"], [45, 0, 0, "-", "results"]], "physbo.search.discrete_multi.policy": [[44, 1, 1, "", "policy"]], "physbo.search.discrete_multi.policy.policy": [[44, 2, 1, "", "bayes_search"], [44, 2, 1, "", "get_post_fcov"], [44, 2, 1, "", "get_post_fmean"], [44, 2, 1, "", "get_score"], [44, 2, 1, "", "load"], [44, 2, 1, "", "load_predictor_list"], [44, 2, 1, "", "load_training_list"], [44, 3, 1, "", "new_data_list"], [44, 2, 1, "", "random_search"], [44, 2, 1, "", "save"], [44, 2, 1, "", "save_predictor_list"], [44, 2, 1, "", "save_training_list"], [44, 2, 1, "", "write"]], "physbo.search.discrete_multi.results": [[45, 1, 1, "", "history"]], "physbo.search.discrete_multi.results.history": [[45, 2, 1, "", "export_pareto_front"], [45, 2, 1, "", "load"], [45, 2, 1, "", "save"], [45, 5, 1, "", "time_get_action"], [45, 5, 1, "", "time_run_simulator"], [45, 5, 1, "", "time_total"], [45, 5, 1, "", "time_update_predictor"], [45, 2, 1, "", "write"]], "physbo.search.pareto": [[46, 1, 1, "", "Pareto"], [46, 1, 1, "", "Rectangles"], [46, 4, 1, "", "dominate"]], "physbo.search.pareto.Pareto": [[46, 2, 1, "", "divide_non_dominated_region"], [46, 2, 1, "", "export_front"], [46, 2, 1, "", "set_reference_max"], [46, 2, 1, "", "set_reference_min"], [46, 2, 1, "", "update_front"], [46, 2, 1, "", "volume_in_dominance"]], "physbo.search.pareto.Rectangles": [[46, 2, 1, "", "add"]], "physbo.search.score": [[47, 4, 1, "", "EI"], [47, 4, 1, "", "PI"], [47, 4, 1, "", "TS"], [47, 4, 1, "", "score"]], "physbo.search.score_multi": [[48, 4, 1, "", "EHVI"], [48, 4, 1, "", "HVPI"], [48, 4, 1, "", "TS"], [48, 4, 1, "", "score"]], "physbo.search.utility": [[49, 4, 1, "", "is_learning"], [49, 4, 1, "", "length_vector"], [49, 4, 1, "", "show_interactive_mode"], [49, 4, 1, "", "show_search_results"], [49, 4, 1, "", "show_search_results_mo"], [49, 4, 1, "", "show_start_message_multi_search"]], "physbo.variable": [[50, 1, 1, "", "variable"]], "physbo.variable.variable": [[50, 2, 1, "", "add"], [50, 2, 1, "", "add_X"], [50, 2, 1, "", "add_Z"], [50, 2, 1, "", "add_t"], [50, 2, 1, "", "delete"], [50, 2, 1, "", "delete_X"], [50, 2, 1, "", "delete_Z"], [50, 2, 1, "", "delete_t"], [50, 2, 1, "", "get_subset"], [50, 2, 1, "", "load"], [50, 2, 1, "", "save"]]}, "objnames": {"0": ["py", "module", "Python \u30e2\u30b8\u30e5\u30fc\u30eb"], "1": ["py", "class", "Python \u30af\u30e9\u30b9"], "2": ["py", "method", "Python \u30e1\u30bd\u30c3\u30c9"], "3": ["py", "attribute", "Python \u306e\u5c5e\u6027"], "4": ["py", "function", "Python \u306e\u95a2\u6570"], "5": ["py", "property", "Python \u30d7\u30ed\u30d1\u30c6\u30a3"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:attribute", "4": "py:function", "5": "py:property"}, "terms": {"\")": [57, 59, 62], "\"*": [57, 62], "\",": [47, 56, 57, 59, 61], "\"ei": 47, "##": 59, "#in": [57, 62], "& \\": 1, "& k": 1, "<": 57, "''": 58, "'(": 37, "')": [1, 57, 58, 59], "',": [56, 57, 58, 59, 60, 61, 62], "']": 35, "'config": 35, "'exact": 20, "'hvpi": 44, "'ts": 41, "'}\\": 59, "'}_": 59, "(\"": [56, 59], "('": [56, 57, 58, 59, 60, 61], "((": [56, 59], "()": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43, 53, 56, 57, 58, 59, 60, 61, 62], "(-": 59, "([": [56, 59, 60], "(\\": [1, 59], "(_": 51, "(a": 59, "(acquisition": [53, 57], "(actions": [58, 61], "(array": 59, "(baysean": 20, "(best": [57, 60, 62], "(blm": 10, "(calculated": 61, "(common": 54, "(default": 13, "(ei": 1, "(figsize": 59, "(file": 58, "(front": 59, "(fx": [57, 62], "(gp": 56, "(hyper": 59, "(int": 56, "(itertools": 59, "(k": 1, "(l": 1, "(less": [23, 27], "(lik": 56, "(list": 59, "(max": [57, 58, 59, 60, 61, 62], "(mean": [41, 44], "(mode": 57, "(n": [56, 59], "(np": [56, 57, 58, 59, 60, 61, 62], "(num": 30, "(object": 59, "(open": 54, "(optimization": 54, "(pi": 1, "(policy": 58, "(range": 61, "(ref": 59, "(res": [57, 59, 60, 62], "(score": 57, "(simu": 59, "(t": [56, 61], "(test": [57, 58, 59, 60, 61, 62], "(the": 42, "(u": [10, 34], "(var": 57, "(window": [57, 62], "(x": [6, 8, 10, 13, 14, 37, 56, 57, 58, 59, 60, 61, 62], "(xtest": 8, "(y": 59, "({": 1, "(\u6ce8": 56, ") \\": 1, "))": [8, 10, 13, 57, 59, 62], ")*": 56, "),": [1, 14, 29, 41, 42, 44, 56, 57, 59, 61], ")-": 34, ").": [14, 20, 23, 25, 27, 41, 42, 44, 48, 50, 53, 54, 56, 57, 62], "):": [53, 57, 59], ")]": 59, ")^": [1, 34, 59], ")^\\": 1, ")}": 1, ")\u3001": 1, ")\u3002": [53, 57, 62], "*'": 59, "**": [31, 41, 44, 57, 62], "*alpha": [41, 44], "*}": 1, "+ \\": 1, "+\\": 1, "+ntest": 56, "+std": 57, ", '": 59, ", [": 59, ", \\": 1, ", k": 1, ", score": [57, 60, 62], ", vmin": 59, ", where": [19, 23, 27], ", x": [57, 62], ", y": 1, ", z": 1, ",\"": 6, ",')": [56, 58, 60, 61], ",)": [19, 23, 27], ",[": 59, ",b": 6, "- \\": 1, "- x": 56, "--": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 37, 38, 41, 42, 44, 46, 47, 50], "-1": 59, "->": 54, "-\\": 1, "-armed": 59, "-b": 19, "-based": 48, "-basis": 16, "-bfgs": 19, "-by": [6, 13, 16], "-center": 53, "-covariance": [14, 16, 21, 31], "-d": [6, 13], "-dev": [51, 53], "-dimensional": [19, 20, 21, 23, 25, 27, 33, 41, 44, 50], "-dominated": [46, 59], "-l": [6, 13], "-learn": 54, "-mail": 51, "-max": 54, "-n": 16, "-ntrain": 56, "-objective": [54, 59], "-pattersonafb": 59, "-rank": 54, "-rectangle": 59, "-scale": 6, "-std": 57, "-t": 56, "-th": 58, "-tokyo": 51, "-update": 10, "-user": 53, "-volume": 48, "-y": 1, ".)": 42, ".,": [41, 42, 44, 48, 56, 59], "..": [56, 59, 61], "...": [1, 56], "._": [11, 35, 38], ".ac": 51, ".adam": [3, 36], ".add": [3, 39], ".alpha": 36, ".append": [56, 57, 62], ".argmin": [57, 62], ".array": [56, 57, 59, 60, 62], ".asarray": [56, 58, 60, 61], ".basis": [3, 4, 8, 10, 11, 12], ".bayes": [40, 43, 57, 58, 59, 60, 61, 62], ".beta": 36, ".bias": [11, 13], ".blm": [2, 3, 20], ".c": 59, ".cat": [18, 22], ".centering": [3, 32, 56, 58, 60, 61], ".choice": 56, ".chosen": [53, 57, 62], ".collections": 57, ".colorbar": 59, ".com": [53, 54], ".comm": 57, ".config": [4, 14, 31], ".const": [17, 28, 56], ".core": [3, 4, 10, 14, 17, 25], ".cov": [3, 11, 12, 15, 16, 17, 56], ".cpc": 54, ".decomp": [18, 22], ".delete": [3, 4, 17], ".discreate": 62, ".discrete": [3, 39, 53, 57, 58, 59, 60, 61, 62], ".disp": 18, ".divide": 39, ".dump": [38, 58], ".epoch": 36, ".epsilon": 36, ".eval": 18, ".exact": [4, 8, 9, 17, 20, 24, 31], ".exp": 59, ".export": [18, 39, 40, 43, 53, 57, 59, 60, 62], ".figure": 59, ".fill": 57, ".fit": [3, 4, 17, 18, 56], ".fourier": [4, 5, 12], ".fx": [53, 57, 59, 60, 62], ".g": [41, 42, 44], ".gamma": 36, ".gauss": [3, 4, 8, 11, 15, 17, 22, 26, 32, 56], ".get": [3, 4, 5, 7, 8, 10, 11, 12, 13, 15, 17, 18, 20, 22, 26, 28, 31, 40, 43, 56, 57], ".gp": [2, 3, 56], ".grad": [36, 37], ".history": [41, 44, 53, 57, 58, 62], ".imshow": 59, ".inf": [3, 4, 8, 17, 20], ".ini": 35, ".init": [18, 28], ".jp": 51, ".learning": [17, 18], ".lik": [3, 4, 7, 8, 10, 17, 56], ".linalg": 34, ".line": [57, 60], ".linear": [4, 8, 10, 11], ".lines": [57, 60], ".linspace": [57, 59, 62], ".load": [3, 22, 32, 40, 43, 50, 57, 58], ".loadtxt": [56, 58, 60, 61], ".m": 36, ".max": 36, ".mean": [3, 17, 56], ".method": 7, ".misc": [2, 3, 14, 20, 56, 58, 60, 61], ".model": [4, 7, 10, 14, 17, 18, 25, 56], ".multivariate": [31, 41, 44], ".nbasis": [5, 7, 11, 15], ".ndarray": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 34, 37, 41, 42, 44, 47], ".new": 43, ".nparams": 36, ".npz": [57, 58], ".num": [14, 31, 59], ".one": 18, ".opt": [2, 3], ".org": 54, ".params": [5, 6, 11, 12, 13, 15, 16, 36, 56], ".pareto": [3, 39, 59], ".plot": [57, 59, 60, 62], ".policy": [39, 40, 43, 57, 58, 59, 60, 61, 62], ".polycollection": 57, ".post": [7, 18], ".prec": 15, ".predict": [7, 14, 18, 31], ".predictor": [2, 3, 4, 17, 41, 44, 47, 58], ".prepare": [3, 4, 7, 8, 17, 18, 22, 56], ".print": [18, 22, 56], ".prior": [3, 4, 7, 8, 17, 18, 56], ".product": 59, ".py": [41, 44, 53], ".pyplot": [57, 59, 60, 62], ".rand": 22, ".random": [31, 40, 41, 43, 44, 56, 57, 58, 59, 60, 62], ".reset": 18, ".results": [39, 40, 41, 43, 44, 53, 57, 58, 62], ".run": [18, 36], ".sample": 61, ".sampling": [7, 8, 11, 18, 26], ".save": [3, 22, 40, 43, 57, 58], ".savez": 50, ".scatter": 59, ".sciencedirect": 54, ".score": [3, 39], ".search": [2, 3, 53, 57, 58, 59, 60, 61, 62], ".seed": 61, ".set": [3, 5, 11, 14, 15, 18, 20, 22, 26, 28, 32, 36, 39, 40, 56, 57, 58, 59, 60, 61, 62], ".shape": [56, 59], ".show": [5, 32, 58, 59], ".sigma": 15, ".size": 61, ".solve": 34, ".sqrt": [57, 59], ".stats": [7, 10, 11], ".sub": 18, ".subplots": 57, ".sum": 59, ".supp": [22, 26, 28], ".t": [50, 58, 59, 60], ".time": [40, 43], ".title": 59, ".total": [53, 57, 60, 62], ".training": [41, 44, 58], ".trans": 26, ".u": 51, ".update": [3, 4, 7, 8, 17, 36, 38, 39], ".utility": [3, 39, 58], ".v": 36, ".variable": [2, 3, 14, 31, 41, 44, 47, 58], ".volume": [39, 59], ".write": [40, 43, 58], ".x": 50, ".xlabel": 59, ".xlim": 59, ".ylabel": 59, ".ylim": 59, ".z": 50, ".zero": [17, 28], ".zeros": 30, ".\u300d": 59, "/\\": 59, "/article": 54, "/ds": 59, "/eng": 59, "/issp": 53, "/physbo": 53, "/pii": 54, "/s": [54, 56, 58, 60, 61], "/science": 54, "0d": 57, "0ff": 57, "0x": [57, 60], "10": [56, 57, 59], "11": [56, 57], "12": [56, 57], "13": [56, 57], "14": [56, 57, 59], "15": [56, 57, 59], "16": [56, 57, 59], "17": [56, 59], "18": 56, "19": 59, "1e": [23, 27, 60], "1st": 58, "1\u3064": [53, 57], "2d": [57, 60], "2nd": 58, "2\u3064": [57, 60], "3d": 57, "3dihub": 54, "3rd": 58, "4py": 57, "4th": 58, "73": 61, "7fdc": 60, "7fe": 60, "7ff": 57, "80": 60, ":/": [53, 54], ":]": 59, ":baysean": 53, ":gaussian": 53, ":ntrain": 56, ":physbo": 53, ":predictor": 53, ";]": [57, 60], ";matplotlib": [57, 60], "= \"": 47, "= (": 56, "= -": [56, 58, 60, 61], "= \\": 1, "= a": 1, "= f": 37, "= k": 1, "=\"": [57, 59, 61, 62], "='": [56, 57, 58, 59, 60, 61, 62], "=(": 59, "=-": [57, 59, 62], "=.": 57, "=[": [57, 59, 61, 62], "=action": [57, 62], "=cov": 56, "=false": 56, "=lik": 56, "=mean": 56, "=mpi": 57, "=n": 59, "=none": [58, 61], "=policy": 58, "=simu": 59, "=simulator": [57, 60, 62], "=test": [57, 59], "=true": 59, "=x": [57, 58, 60, 61, 62], "@misc": 54, "[&": [57, 60], "['": 35, "[-": [57, 59, 62], "[1": [56, 57, 58, 59, 60, 61], "[2": [56, 57, 58, 59, 60, 61], "[3": [56, 57, 58, 59, 60, 61], "[4": [56, 57, 59, 60, 61], "[5": [56, 58, 59], "[6": [56, 59, 60], "[7": [56, 57, 59, 60], "[8": [56, 57, 59, 60], "[9": [56, 57, 59], "[:": [56, 57, 58, 59, 60, 61], "[[": 61, "[\\": 1, "[action": [57, 58, 59, 60, 62], "[actions": 61, "[calculated": 61, "[dominated": 59, "[i": 59, "[id": 56, "[int": [57, 62], "[np": [57, 62], "[ntrain": 56, "[params": 27, "[x": 6, "\\\nk": 1, "\\[": 1, "\\\\": [1, 59], "\\begin": 59, "\\bf": 1, "\\boldsymbol": 1, "\\eta": 1, "\\exists": 59, "\\left": 59, "\\mathbf": 1, "\\mathcal": 1, "\\mu": 1, "\\phi": 1, "\\pi": 1, "\\prec": 59, "\\sigma": 1, "\\text": 1, "\\vec": 59, "\\|": 1, "]\n#": 62, "]\nx": [57, 62], "])": [56, 57, 59, 60, 61, 62], "],": [56, 59], "].": [27, 59], "]:": [56, 57, 58, 59, 60, 61, 62], "][": [57, 62], "]]": [59, 61], "]^": 1, "^-": 34, "^\\": 1, "^t": [1, 34], "^{": [1, 59], "_,": [58, 60], "_[": 59, "__": [38, 41, 44, 51, 57, 58, 59, 60, 62], "_action": [40, 41, 42, 43, 44, 45, 53, 57, 60, 62], "_actions": [42, 53, 57, 62], "_all": [40, 42, 53, 56, 57, 59, 60, 62], "_basis": [3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 17, 20, 23, 31, 38, 41, 44, 57, 58, 59, 60, 61, 62], "_best": [40, 42, 53, 57, 60, 62], "_between": 57, "_bias": [11, 12, 13], "_binary": 46, "_blm": [18, 20], "_bound": [18, 20, 22, 23, 26, 27, 28, 29], "_c": 1, "_call": [41, 44, 57, 62], "_cand": [18, 20, 22, 23, 26, 27, 28, 29], "_candidate": 48, "_compressed": 50, "_config": [3, 14, 20, 32, 56], "_const": [4, 15, 16], "_cov": [11, 12, 15, 16, 18, 21, 22, 23, 26, 27], "_data": [21, 27, 29, 30, 41, 43, 44, 56, 58, 60, 61], "_dim": [23, 46], "_disp": [19, 41, 44], "_dominance": [39, 46, 59], "_dominated": [39, 46], "_each": [41, 44, 60], "_ehvi": 59, "_elim": [3, 32], "_epoch": [19, 36, 37], "_expans": [22, 23], "_fcov": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "_fmean": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "_front": [39, 43, 45, 46, 59], "_fx": [40, 42, 53, 57, 60, 62], "_get": [40, 41, 42, 43, 44, 45], "_grad": [17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30], "_history": [40, 41, 44, 58], "_hvpi": 59, "_i": [1, 59], "_ids": 61, "_idx": [57, 62], "_in": [39, 46, 59], "_init": [13, 57, 62], "_initial": 61, "_interactive": [3, 39, 49], "_iter": 19, "_j": 59, "_l": 1, "_learning": [3, 39, 49], "_like": [29, 34], "_list": [43, 44, 48, 57, 62], "_marlik": [17, 18, 19, 20, 24, 25], "_max": [39, 46, 57, 59, 62], "_mean": [4, 7, 8, 9, 10, 11, 12, 13, 15, 16, 18, 21, 28, 29, 30], "_message": [3, 39, 49], "_min": [39, 46, 57, 59, 62], "_mo": [3, 39, 49], "_mode": [3, 39, 49], "_mu": [8, 10], "_multi": [3, 39, 49, 59], "_n": 59, "_name": [23, 35, 38, 44, 50], "_new": 56, "_non": [39, 46], "_normal": [31, 41, 44], "_normalized": 33, "_num": [41, 42, 44, 48, 53, 57, 58, 59, 60, 61, 62], "_objectives": [44, 45, 46, 59], "_one": [18, 19], "_opt": [57, 62], "_p": 59, "_param": 29, "_params": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29, 30, 31, 36, 37, 38, 56], "_pareto": [43, 44, 45, 49, 59], "_post": [3, 4, 7, 8, 9, 10, 14, 17, 18, 20, 24, 25, 31, 38, 40, 41, 43, 44, 56, 57], "_prec": [11, 12, 15, 16], "_predict": [3, 4, 14, 17, 31, 38], "_predictor": [2, 3, 14, 31, 38, 40, 41, 42, 43, 44, 45, 58], "_probe": [41, 44, 60], "_probes": [41, 44, 57, 58, 59, 60, 61, 62], "_rand": [41, 44, 57, 58, 59, 60, 61, 62], "_random": 59, "_ratio": 46, "_reference": [39, 46], "_region": [39, 46], "_research": 42, "_result": 57, "_results": [3, 39, 49, 58], "_row": 50, "_rule": 46, "_run": [18, 19, 40, 41, 42, 43, 44, 45], "_runs": [42, 59], "_samples": [3, 4, 14, 17, 31, 38], "_sampling": [7, 8, 18, 20], "_scale": 23, "_score": [40, 41, 43, 44, 57], "_search": [3, 18, 19, 39, 40, 41, 43, 44, 46, 49, 53, 57, 58, 59, 60, 61, 62], "_seed": [40, 41, 57, 58, 59, 60, 61, 62], "_sequence": [40, 42, 53, 57, 60, 62], "_set": [44, 49, 59], "_simulator": [40, 41, 42, 43, 44, 45], "_sparse": 59, "_start": [3, 39, 49], "_stats": [3, 4, 7, 8, 9, 10, 14, 17, 31, 38], "_subset": [3, 50], "_t": [3, 19, 50], "_test": 56, "_total": [40, 41, 42, 43, 44, 45], "_train": 56, "_training": [40, 41, 43, 44, 58], "_triangular": 34, "_ts": 59, "_update": [18, 19, 40, 41, 42, 43, 44, 45], "_vector": [3, 39, 49], "_width": 23, "_world": 57, "_x": [3, 19, 41, 44, 50, 57, 58, 59, 60, 61, 62], "_z": [3, 50], "_{": [1, 56, 59], "``": 53, "about": [20, 35, 41, 44], "above": 62, "acceleration": 56, "access": 54, "acquisition": [41, 44, 47], "action": [41, 42, 44, 45, 50, 53, 55, 57, 58, 59, 60, 62], "actions": [41, 42, 44, 58, 61, 62], "actoin": 61, "adam": [3, 17, 18, 19, 32, 35, 36, 37], "adc": 57, "add": [46, 50], "adding": [27, 50], "advances": 6, "afit": 59, "air": 59, "al": 48, "algorithm": 19, "algorithms": 59, "all": [16, 20, 41, 42, 44, 54], "along": 33, "alpha": [6, 8, 10, 14, 20, 31, 34, 37, 41, 44, 47, 48, 57], "already": [14, 31, 37], "amp": 23, "an": [13, 20, 29, 35, 41, 44], "analyses": 59, "and": [6, 16, 19, 20, 21, 23, 29, 33, 35, 41, 42, 44, 47, 48, 54, 56, 58, 59, 62], "another": 8, "api": [52, 53, 59], "appl": 56, "approach": 56, "aquision": [41, 44, 62], "aquisition": [41, 44], "ard": [23, 56], "are": [16, 41, 44, 47, 50, 62], "args": [31, 37, 38], "array": [19, 20, 23, 25, 27, 29, 33, 34, 41, 42, 44, 50, 56, 58, 59, 60], "article": 54, "artif": 59, "as": [8, 10, 13, 38, 41, 44, 50, 56, 57, 58, 59, 60, 61, 62], "ascending": 46, "assumed": [41, 44], "at": [12, 41, 42, 44, 51, 57, 60, 62], "author": 54, "automatic": 54, "auxiaialy": 10, "auxially": [8, 10], "available": [41, 44, 47, 54, 62], "ax": 57, "axis": 59, "bandits": 59, "base": [2, 3, 14, 19, 31, 38, 41, 44, 47], "based": 54, "basis": [6, 12, 13, 14, 19, 20, 23, 31, 38, 41, 44, 62], "batch": [3, 17, 18, 19, 32, 35], "bayes": [41, 44, 53, 57, 58, 59], "bayesian": [4, 41, 44, 54, 57, 58, 62], "baysean": [8, 14], "baysian": 54, "be": [10, 14, 20, 23, 25, 27, 29, 31, 37, 38, 41, 42, 44, 50], "been": 62, "before": 62, "begin": 1, "bernard": 59, "best": [42, 53, 57, 60, 62], "beta": 37, "bf": 1, "bias": [6, 12, 13], "bibtex": 54, "blm": [8, 10, 12, 14, 20, 41, 44, 53], "blue": 59, "boldsymbol": 1, "bool": [8, 10, 20, 21, 23, 25, 31, 41, 44], "boolean": [3, 32, 35], "both": [41, 44], "bound": [20, 23, 27, 29], "boundary": [20, 23, 27, 29], "bounds": 46, "by": [8, 10, 14, 27, 31, 38, 41, 42, 44, 50, 62], "calcualte": [41, 44], "calculate": [13, 34, 41, 44, 47, 48], "calculated": [41, 44, 61], "calculates": [8, 10, 12, 14, 16, 37], "calculating": [20, 21, 25, 31], "calculation": [48, 59], "call": [57, 58, 59, 60, 62], "callable": [41, 44], "calling": [57, 62], "can": 29, "candidate": [19, 20, 21, 23, 25, 27, 33, 41, 42, 44, 50, 57, 62], "candidates": [19, 29, 62], "capital": 54, "case": 62, "cat": [20, 21, 23], "cccc": 1, "cd": 53, "cdot": 1, "cdots": [1, 59], "centering": [3, 32, 33], "cholesky": 54, "choose": [41, 44, 62], "choosed": 62, "chosen": [42, 62], "class": [6, 8, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 35, 37, 38, 41, 42, 44, 45, 46, 47, 50, 57, 58, 59, 60, 62], "classifications": 59, "clone": 53, "coefficient": 6, "color": 57, "column": 33, "combo": [54, 62], "comm": [41, 44, 57], "communications": 54, "components": 16, "comput": 59, "compute": [6, 23], "computer": 54, "computes": 16, "concatinate": [20, 23], "config": [14, 19, 20, 31, 35, 38, 41, 44, 56], "configuration": [14, 35], "const": [17, 28, 29], "constant": 29, "contents": 2, "converted": 29, "copyright": 54, "corresponding": [19, 41, 44, 62], "cos": [1, 6], "couckuyt": [48, 59], "cov": [4, 12, 15, 16, 20, 21, 41, 44, 56], "covariance": [8, 10, 12, 16, 20, 21, 25, 27, 31, 38, 41, 44, 56], "covariant": 23, "create": [57, 62], "criteria": [48, 59], "csv": [56, 58, 60, 61], "cu": 56, "current": [23, 37, 57, 62], "data": [6, 8, 14, 20, 21, 29, 31, 42, 47, 56, 58, 60, 61], "dataset": [8, 14, 20, 31, 41, 44, 47], "datasets": 20, "david": 59, "ddots": 1, "declare": [57, 62], "declaring": 62, "decomp": [20, 21, 23], "decompose": 23, "decomposing": [20, 21], "def": [56, 57, 58, 59, 60, 61, 62], "default": [6, 8, 10, 12, 13, 14, 16, 19, 20, 31, 38, 41, 42, 44, 47], "defined": [23, 29, 30, 38, 41, 44, 47, 62], "del": [57, 58], "delete": [14, 31, 38, 50], "deleted": 50, "deleting": 50, "delimiter": [56, 58, 60, 61], "denotes": [19, 20, 21, 23, 25, 33, 41, 44, 50], "deschrijver": 59, "design": 62, "deviation": [27, 33], "dhaene": 59, "diag": [8, 10, 20, 21, 23, 25, 31], "diagonal": [8, 10, 27], "diagonalization": [20, 21, 23, 25], "diagonlization": 31, "dict": 38, "dimension": [6, 12, 30, 37], "dimensional": [19, 20, 21, 23, 25, 27, 33, 41, 42, 44, 50], "dimenstional": [41, 42, 44], "dirk": 59, "discovery": 47, "discrete": 59, "disp": [19, 44, 49, 59], "displaying": 19, "distribution": [8, 41, 44, 47], "divide": 46, "does": [14, 31], "doi": 54, "dom": 46, "dominance": 46, "dominate": [3, 39, 46], "domination": 46, "done": [37, 56, 61], "dots": 59, "drawing": 31, "draws": [8, 10, 12, 14, 20], "dtype": 46, "each": [16, 19, 20, 21, 23, 25, 27, 31, 33, 38, 41, 42, 44, 50, 62], "effective": 54, "ehvi": [3, 39, 48], "ei": [1, 3, 39, 41, 44, 47, 53, 57, 58, 60, 62], "elapsed": [41, 42, 44], "element": 27, "elements": [16, 19, 23, 27], "empty": 30, "end": [1, 59], "energy": [19, 20, 23, 25, 27, 41, 42, 44, 50, 62], "engineering": 59, "ensurepip": 53, "epoch": [37, 56, 61], "epochs": 19, "epsilon": 37, "estimation": 54, "et": 48, "eta": 1, "eur": 59, "eval": [17, 19, 20, 24, 25], "evaluating": [20, 25], "evolutionary": 59, "exists": 59, "exp": [1, 27, 59], "expansion": 23, "expected": [1, 41, 44, 47, 48, 53, 57], "export": [20, 41, 42, 45, 46, 62], "exporting": 20, "extent": 59, "false": [19, 21, 23, 35, 41, 44, 46, 49, 56], "fast": [10, 48, 59], "fbest": [53, 57, 62], "fcov": 56, "feature": [1, 6, 8, 10, 12, 13, 14, 19, 20, 21, 23, 25, 33, 41, 44, 50, 54, 62], "features": [6, 8], "fig": 57, "file": [23, 35, 38, 41, 42, 44, 50, 58], "filename": [42, 45], "files": [41, 44], "filled": [29, 41, 42, 44], "first": [8, 41, 44, 46, 62], "fit": [14, 20, 31, 38], "fitting": [20, 31], "flag": 31, "float": [8, 10, 12, 13, 14, 16, 20, 21, 23, 25, 31, 37, 41, 44, 47], "fmax": 47, "fmean": [12, 27, 48, 56], "for": [6, 8, 10, 13, 14, 19, 20, 21, 23, 27, 29, 31, 41, 42, 44, 46, 47, 48, 50, 54, 57, 59, 62], "forall": 59, "force": [46, 59], "fourier": [4, 5, 6], "frac": 1, "from": [8, 21, 23, 35, 38, 41, 44, 50, 54, 57], "front": 59, "fstd": 48, "funciton": [41, 44, 62], "function": [8, 12, 20, 23, 25, 27, 31, 37, 38, 41, 42, 44, 47, 50, 53, 57, 62], "functions": [41, 44], "fx": [42, 57, 62], "gamma": 37, "gauss": [3, 4, 11, 12, 15, 16, 17, 22, 23, 26, 27, 32, 34], "gaussian": [12, 16, 21, 23, 27, 41, 44, 62], "general": 54, "get": [4, 6, 8, 9, 10, 12, 13, 14, 16, 17, 19, 20, 21, 23, 24, 25, 27, 29, 30, 31, 38, 41, 44, 50, 57], "getting": [20, 23, 27, 29, 41, 42, 44, 50], "git": 53, "github": [51, 53], "give": 19, "given": [41, 44, 47], "gives": 19, "global": 59, "gnu": 54, "gp": [19, 21, 25, 53, 56], "gpl": 54, "grad": [20, 23, 25, 37], "gradiant": [20, 21, 23, 25], "gradient": [27, 37], "greater": [23, 27], "gt": [57, 60], "guess": 19, "half": [12, 16], "has": 62, "have": 16, "here": [41, 44], "history": [39, 40, 41, 42, 43, 44, 45, 49, 53, 57, 58, 62], "holding": 29, "https": [53, 54], "hvpi": [3, 39, 48], "hyper": [19, 41, 44, 48, 56, 61, 62], "hyperparameter": 54, "hyperparemters": [41, 42, 44], "hypervolume": 48, "id": [53, 55, 56, 57, 58, 59, 60], "if": [8, 10, 14, 20, 21, 23, 25, 31, 41, 42, 44, 47, 50, 59, 62], "ignore": 14, "ii": [53, 57], "import": [56, 57, 58, 59, 60, 61, 62], "improvement": [1, 41, 44, 47, 48, 53, 57], "in": [6, 8, 20, 29, 31, 38, 41, 42, 44, 46, 47, 56, 57, 59, 62], "independent": [16, 19, 23, 27], "index": [41, 44, 50, 57, 62], "indexes": [41, 42, 44, 50], "inf": 20, "information": [6, 23, 35, 38, 41, 42, 44], "infty": 1, "init": [11, 19, 29, 58, 59, 60], "initial": [13, 19, 41, 44, 56, 61, 62], "initialization": 14, "initialized": [14, 29], "initializes": [8, 10, 14], "initializing": [29, 31], "inline": [57, 59, 60], "innovations": 59, "input": [6, 8, 10, 12, 13, 20, 29, 35, 37, 41, 44, 62], "inputs": [8, 10, 14, 20, 31, 47], "inst": 59, "install": 53, "int": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 37, 41, 44, 50, 56], "integer": [41, 44], "intell": 59, "interactions": [57, 62], "interface": 56, "interval": [41, 44, 49, 57, 58, 59, 60, 61, 62], "into": [23, 41, 44], "inv": 16, "is": [3, 6, 19, 20, 21, 23, 25, 27, 38, 39, 41, 42, 44, 46, 47, 49, 50, 62], "isotropic": 16, "issn": 54, "issp": 51, "issues": 51, "it": [41, 44], "iterations": 19, "itertools": [57, 59, 62], "itself": [41, 44], "ivo": 59, "journal": [54, 59], "jpn": 56, "june": 47, "kazuyoshi": 54, "kei": 54, "kernel": [6, 8, 23], "keywords": 54, "kind": 47, "kiyohara": 56, "koji": 54, "kriging": 56, "kwargs": [37, 47, 48], "kwds": [31, 38], "label": [8, 10], "land": 59, "large": 6, "lb": 46, "ldots": 1, "le": 59, "learn": 59, "learned": 62, "learning": [3, 19, 32, 35, 41, 42, 44, 56, 61, 62], "left": 1, "len": [14, 31, 56], "length": [3, 39, 49], "license": 54, "lik": [8, 20, 56], "likelifood": 20, "likelihood": [19, 20, 25, 27, 56, 61], "linear": [4, 8, 11, 12, 13, 14, 20, 53, 57], "list": [20, 23, 27, 29, 41, 44], "load": [23, 35, 38, 41, 42, 44, 45, 50, 53, 56, 58, 60, 61], "loading": [35, 41, 44, 50], "log": [12, 16, 23, 27], "logarithm": 23, "longleftrightarrow": 59, "lower": [46, 59], "lt": [57, 60], "mach": 59, "machines": 6, "magne": 54, "make": 20, "management": 54, "manderick": 59, "map": [1, 8, 10, 13, 54], "maps": [6, 8, 10, 12, 13, 14, 20], "marginal": [19, 20, 25, 56, 61], "marlik": [20, 25], "matches": 34, "materials": [47, 54], "mathbf": 1, "mathcal": 1, "matplotlib": [57, 59, 60, 62], "matrix": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 31, 33, 34, 41, 44, 50], "max": [1, 19, 20, 23, 27, 29, 37, 41, 44, 47, 57, 58, 59, 60, 62], "maximization": 46, "maximum": [19, 23, 27, 29, 37, 41, 44, 47], "mean": [8, 10, 12, 13, 14, 16, 20, 21, 25, 31, 33, 38, 41, 44, 47, 56, 57], "means": 12, "median": 29, "merge": [41, 44], "messages": [41, 44], "method": [8, 37], "min": [20, 23, 27, 29, 56], "minimum": [19, 23, 27, 29], "minus": 59, "misc": 53, "mizoguchi": 56, "mode": [41, 44, 47, 48], "model": [4, 7, 8, 10, 14, 17, 18, 20, 31, 38, 53, 54, 57], "module": [2, 52], "motoyama": 54, "mpi": [41, 44, 57], "mu": 1, "multi": [41, 44, 54, 59], "multiobjective": [48, 59], "multiplying": 31, "must": [31, 38], "mutated": 10, "name": [23, 35, 38, 41, 42, 44, 50], "nbasis": [6, 8, 13, 16], "ndarray": [23, 56, 57, 62], "negative": [19, 20, 23, 25, 27, 41, 42, 44, 50, 62], "neither": [41, 44], "netw": 59, "neural": [6, 59], "new": [10, 29, 44, 46, 56, 59], "next": [41, 42, 44], "no": 59, "noise": [8, 10, 14, 20, 27, 47], "non": [46, 59], "none": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 35, 38, 41, 42, 44, 45, 46, 47, 48, 49, 50], "nor": [41, 44], "normalize": 33, "normalized": 33, "not": [10, 14, 16, 20, 29, 30, 31, 41, 44, 47, 59, 62], "notimplementederror": 47, "np": [13, 31, 41, 44, 56, 57, 58, 59, 60, 61, 62], "nparams": 37, "ntest": 56, "ntrain": 56, "num": [14, 19, 20, 21, 23, 27, 29, 30, 31, 41, 42, 44, 45, 46, 50, 57, 58, 59, 60, 61, 62], "number": [6, 8, 10, 13, 14, 16, 19, 20, 21, 23, 27, 29, 31, 37, 41, 42, 44, 62], "numpy": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 37, 41, 42, 44, 47, 50, 53, 56, 57, 58, 59, 60, 61, 62], "nxn": 12, "object": [6, 8, 12, 13, 16, 19, 20, 21, 23, 27, 29, 30, 35, 37, 38, 41, 42, 44, 45, 46, 47, 50], "objective": [20, 23, 25, 27, 41, 42, 44, 46, 50, 59], "objects": 35, "observed": 62, "oda": 56, "of": [1, 6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 46, 47, 48, 50, 53, 54, 56, 57, 62], "oh": 59, "omega": 1, "on": [23, 46, 54], "one": [19, 23, 54], "ones": 29, "online": [3, 17, 18, 19, 32, 35], "only": [8, 10, 41, 44, 47, 62], "opt": 53, "optimization": [19, 23, 27, 41, 44, 48, 54, 58, 59, 62], "optimized": [20, 23, 25, 27, 41, 42, 44, 50], "optimizer": 37, "optimum": [57, 62], "options": [8, 37], "or": [29, 34, 35, 41, 44, 50], "order": 46, "ordinary": [41, 44, 62], "origin": 59, "other": 16, "others": 10, "otherwise": 14, "output": [41, 44, 62], "outputted": [41, 44], "overwrite": 42, "overwritten": [31, 38], "package": [2, 54], "pages": [47, 54], "parallel": [41, 44], "param": 23, "parameter": [13, 19, 23, 27, 31, 41, 44, 56, 61, 62], "parameters": [6, 8, 10, 12, 13, 19, 20, 21, 23, 25, 27, 29, 38, 41, 44], "params": [6, 12, 13, 16, 19, 20, 21, 23, 25, 27, 29, 30, 37], "pareto": [3, 39, 44, 46, 48, 59], "passed": 37, "perform": [19, 62], "performed": [41, 44, 62], "performing": [19, 41, 44], "phi": 1, "phys": 56, "physbo": [0, 51, 55, 56, 58, 59, 60, 62], "physics": 54, "pi": [1, 3, 39, 41, 44, 47, 53, 57, 62], "pickle": 38, "pip": 53, "pi\u30b9\u30b3\u30a2": 1, "plot": 59, "plt": [57, 59, 60, 62], "points": [46, 59], "policy": [39, 40, 41, 43, 44, 53, 58, 60, 61, 62], "post": [8, 20, 41, 44], "posterior": [8, 10, 14, 20, 25, 31, 47], "pp": 6, "prec": [16, 59], "precise": 16, "precision": [12, 16], "predict": [8, 20], "prediction": 38, "predictor": [3, 4, 14, 17, 20, 31, 38, 41, 42, 44, 47, 48, 53, 58], "preparation": 14, "prepare": [4, 8, 9, 10, 14, 17, 20, 23, 24, 25, 31, 38], "prepared": 14, "present": [57, 62], "print": [6, 20, 23, 56, 57, 61, 62], "printing": 20, "prior": [8, 16, 17, 18, 20, 21, 56], "priors": [16, 20, 21], "probability": [1, 41, 44, 47, 48, 53, 57], "problem": [46, 59], "proc": 59, "process": [21, 41, 44, 53, 62], "processing": 6, "property": [42, 45], "protocol": 38, "psi": [6, 8, 10, 12, 13, 14], "public": 54, "pypi": 53, "python": [53, 54], "query": 62, "quick": 10, "rahimi": 6, "rand": 23, "random": [1, 6, 8, 13, 41, 44, 53, 54, 57, 58, 59, 61, 62], "range": 59, "ranks": [41, 44], "raw": 12, "real": [19, 23, 27], "receives": [41, 44], "recht": 6, "recovering": 23, "rectangles": [3, 39, 46], "red": 59, "reduced": 48, "ref": [46, 59], "reference": [46, 48, 52], "region": 23, "repeat": 59, "replace": 56, "represented": 62, "represents": [19, 41, 44, 62], "res": [53, 57, 59, 60, 62], "reserved": 54, "reset": 19, "resets": 14, "reshape": [56, 57, 59, 62], "respectively": 33, "result": [29, 62], "results": [41, 44], "return": [34, 35, 56, 57, 58, 59, 60, 61, 62], "returning": [29, 30, 41], "returns": [8, 10, 12], "right": [1, 59], "rights": 54, "row": [19, 20, 21, 23, 25, 33, 41, 44, 50, 62], "rule": 46, "run": [19, 37, 41, 44], "running": [19, 41, 42, 44], "runs": 62, "runtimeerror": [41, 44], "ryo": 54, "saba": 59, "same": [16, 41, 44], "samples": [8, 10, 12, 14, 20, 31, 38], "sampling": [4, 8, 9, 10, 12, 14, 20, 21, 27, 41, 44, 47, 53, 54, 57, 58, 62], "save": [23, 38, 41, 42, 44, 45, 50, 53, 57], "saving": [41, 44, 50], "scale": 23, "school": 59, "scikit": 54, "scipy": [34, 53, 57, 62], "score": [3, 38, 39, 41, 44, 47, 48, 49, 53, 57, 58, 59, 61, 62], "scores": [41, 44, 47], "screening": 54, "search": [3, 19, 20, 21, 23, 25, 27, 32, 33, 35, 41, 42, 44, 50, 53, 57, 62], "searched": [41, 44], "searching": [41, 44, 56, 61, 62], "searchs": 19, "sec": 47, "sectoins": 35, "see": 47, "seed": [41, 62], "selected": 50, "self": [6, 12, 13, 14, 16, 31, 37, 38, 41, 44, 50, 57, 58, 59, 60, 62], "september": 54, "sequence": 42, "set": [3, 6, 12, 13, 14, 16, 20, 21, 23, 27, 29, 30, 31, 32, 35, 37, 38, 41, 44, 46, 47, 50, 59, 62], "sets": [12, 16], "setting": [20, 21, 23, 29, 41], "shape": 34, "show": [3, 6, 23, 35, 39, 49], "showing": 35, "sigma": [1, 16], "sim": 60, "simeq": 1, "simu": 59, "simulator": [41, 42, 44, 49, 53, 55, 61], "single": 62, "size": [13, 19, 23, 27, 41, 44], "skiprows": [56, 58, 60, 61], "solution": [19, 34], "sorted": 46, "source": [8, 10, 14, 20, 47], "specified": [20, 50], "split": [41, 44], "sqrt": [1, 59], "stable": 56, "standard": [27, 33], "start": [56, 61], "starting": 62, "stats": [8, 12, 25], "status": [31, 38], "std": [27, 56, 57], "step": [41, 42, 44, 57, 58, 62], "steps": [58, 62], "stores": [41, 42, 44], "str": [8, 23, 35, 38, 41, 42, 44, 47, 50], "structure": 56, "sub": 20, "submodules": [2, 52], "subpackages": [2, 52], "subset": [20, 50], "subt": 20, "subx": 20, "sum": 59, "summarized": 62, "supp": [23, 27, 29], "symp": 59, "system": 34, "systems": 6, "taking": 23, "tamura": 54, "target": [8, 10], "tech": 59, "terayama": 54, "test": [14, 31, 41, 44, 47, 48, 57, 59, 62], "tests": [21, 25], "th": [56, 57, 58, 61], "than": [23, 27], "that": [19, 29, 41, 44, 62], "the": [6, 8, 10, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 31, 33, 34, 37, 38, 41, 42, 44, 46, 47, 50, 54, 56, 57, 61, 62], "them": 23, "these": [41, 44], "this": [14, 23, 27, 31, 38, 47, 62], "thompson": [41, 44, 47, 53, 54, 57], "those": [20, 21], "time": [41, 42, 44, 45], "timing": 62, "title": 54, "to": [1, 14, 19, 20, 21, 23, 25, 27, 29, 31, 33, 34, 37, 38, 41, 42, 44, 50, 62], "tokyo": 54, "tom": 59, "tool": 54, "top": 1, "total": [20, 21, 23, 29, 41, 42, 44, 62], "trained": [14, 31, 47], "training": [8, 14, 20, 31, 41, 44, 47, 48, 58], "trans": 27, "transpose": 6, "triangular": 34, "true": [8, 10, 20, 21, 23, 25, 31, 35, 41, 44], "ts": [3, 39, 41, 44, 47, 48, 53, 57, 61, 62], "tsuda": [54, 56], "tsuyoshi": 54, "tuned": [41, 44], "tuning": [31, 41, 44, 54], "tuple": [6, 8, 10, 20, 23, 27], "tupple": [23, 25, 29], "type": [6, 8, 12, 13, 14, 16, 23, 37, 41, 44, 62], "ub": 46, "ueno": 54, "uninstall": 53, "university": 54, "unknown": 47, "until": 62, "update": [4, 6, 8, 9, 10, 14, 20, 31, 37, 38, 41, 44, 46, 54], "updated": [10, 14, 38], "updates": [8, 14, 37], "updating": [41, 42, 44], "upper": 46, "use": [14, 31, 47], "used": [14, 16, 20, 29, 30, 31, 41, 44, 47], "user": 53, "using": [8, 14, 19, 31, 34, 38, 50, 56], "value": [6, 8, 12, 13, 14, 16, 20, 21, 23, 25, 27, 29, 31, 38, 41, 42, 44, 47, 50, 62], "values": [13, 14, 20, 21, 23, 27, 31], "van": 59, "var": 57, "variable": [2, 3, 44, 50, 53], "variables": [19, 23, 27, 31, 38, 50], "variance": [12, 14, 16, 21, 31], "variances": [8, 10], "variation": [41, 44], "vdots": 1, "vec": 59, "vector": [13, 19, 20, 21, 23, 25, 33, 41, 44, 50, 62], "veldhuizen": 59, "ver": 54, "version": [38, 54, 62], "via": 54, "vlmop": 59, "vmax": 59, "volume": [46, 47, 54], "want": [41, 44, 62], "weight": [6, 8, 10, 12, 13], "weights": [8, 10, 14], "when": [23, 27, 41, 44], "where": 6, "which": [19, 41, 42, 44, 62], "while": 10, "whose": 50, "width": 23, "will": [10, 14, 37, 41, 44], "window": [57, 62], "with": [13, 16, 20, 23, 27, 29, 37, 41, 44], "wright": 59, "write": [41, 42, 44, 45], "writing": [41, 44], "wt": 6, "www": 54, "xs": [41, 44, 57], "xtest": 8, "y1": 59, "y2": 59, "yahyaa": 59, "year": 54, "yet": [14, 41, 44], "yoshimi": 54, "you": [41, 44, 62], "yourself": [41, 44], "yuichi": 54, "zero": [17, 28, 30, 41, 44, 62], "{(i": 1, "{-": 1, "{-d": 1, "{@": 54, "{\\": 1, "{array": 1, "{ei": 1, "{k": 1, "{motoyama": 54, "{n": [1, 59], "{pi": 1, "{split": 59, "{ts": 1, "{w": 1, "{x": [1, 59], "{y": 1, "| \\": 1, "|\\": 1, "|^": 1, "|{\\": 1, "||": 1, "}'": 1, "}(": 1, "})": [1, 56, 59], "}+": 1, "},": [1, 54], "}/": 1, "}\\": [1, 59], "}]": 1, "}^": [1, 59], "}_": 1, "}{": 1, "}|": 1, "}}": 1, "\u201d,": 56, "\u3001-": 59, "\u3001[": 59, "\u3001\u300c": [1, 54, 59], "\u3002physbo": 53, "\u3002\u3064\u307e\u308a": [1, 53, 54, 57], "\u3002\u307e\u305f": 59, "\u3042\u305f\u308a": 56, "\u3042\u305f\u308b": 56, "\u3042\u3089": 59, "\u3042\u3089\u304b\u3058\u3081": [1, 54, 59], "\u3042\u308a": [1, 53, 56, 57, 59, 60, 62], "\u3042\u308b": [1, 51, 53, 56, 57, 59, 62], "\u3044\u304f\u3064\u304b": 1, "\u3044\u307e\u305b": 1, "\u3044\u308b": [1, 51, 56, 57, 59, 62], "\u3046\u3061": [1, 56, 62], "\u3046\u3061\u3069\u308c": 59, "\u3046\u307e\u304f": [1, 54], "\u304a\u3044": [1, 54, 60], "\u304a\u304d": 59, "\u304a\u304f": [53, 56], "\u304a\u3051\u308b": [1, 53, 54, 56, 57, 59], "\u304a\u3053": 59, "\u304a\u3088\u3073": [1, 53, 54, 56], "\u304a\u308a": [57, 62], "\u304a\u554f\u3044": 52, "\u304b\u304b\u308b": [1, 53, 54, 59], "\u304b\u3051": [57, 62], "\u304b\u3051\u308b": 53, "\u304b\u3055": 1, "\u304b\u3072": 59, "\u304b\u3089": [1, 53, 54, 55, 57, 58, 59, 62], "\u304c\u3042\u305f\u3048": 1, "\u304c\u3063": 1, "\u304c\u308f\u304b\u308a": [1, 57, 62], "\u304f\u3060": [1, 51, 53, 54, 56, 57, 59, 60], "\u3053\u3053": [1, 55, 56, 57, 61, 62], "\u3053\u3053\u3067": [1, 53, 62], "\u3053\u3061\u3089": [1, 51, 53, 54], "\u3053\u3068": [1, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "\u3053\u306e": [0, 1, 53, 54, 57, 59, 62], "\u3053\u308c": [1, 56, 58, 59, 60, 61, 62], "\u3053\u308c\u3089": [1, 53, 57], "\u3054\u3068": [1, 57], "\u3054\u89a7\u304f": 53, "\u3055\u3044": [1, 51, 53, 54, 56, 57, 59, 60], "\u3055\u3089\u306b": 1, "\u3057\u3065\u3089\u3044": 51, "\u3057\u3066": [51, 53], "\u3057\u307e\u3046": 1, "\u3057\u307e\u3059": 59, "\u3057\u3088": 59, "\u3059\u306a\u308f\u3061": 59, "\u3059\u308b": [1, 51, 52, 53, 54, 55, 56, 57, 59, 62], "\u305a\u3063\u3068": 61, "\u305a\u308c": [53, 57, 59], "\u305b\u304f": 51, "\u305d\u3057\u3066": 1, "\u305d\u306e": [1, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "\u305d\u308c": [1, 53, 57], "\u305d\u308c\u305e\u308c": [53, 59], "\u305d\u308c\u3089": 59, "\u305f\u3044": [1, 53, 56, 57, 58, 59], "\u305f\u3046\u3048": 56, "\u305f\u3060\u3044": 56, "\u305f\u3060\u3057": 1, "\u305f\u307e\u307e": 61, "\u305f\u3081": [1, 51, 53, 54, 56, 57, 59, 61, 62], "\u3060\u3051": [1, 53, 54, 57], "\u3060\u3055\u3044": [51, 53, 57], "\u3064\u307e\u308a": 59, "\u3067\u3042\u308a": 59, "\u3067\u304d": [1, 53, 56, 57, 58, 59, 60, 61, 62], "\u3067\u304d\u308b": [1, 54, 57, 62], "\u3067\u3059": [1, 53, 54, 57, 59, 60, 62], "\u3067\u8fd4\u3055": 57, "\u3068\u3044\u3046": [1, 53, 54, 57, 60, 61, 62], "\u3068\u3044\u3063": [56, 61], "\u3068\u3048": 57, "\u3068\u304a\u304a\u3088": 59, "\u3068\u304d": [1, 53, 57, 59], "\u3068\u3057": [1, 53, 59], "\u3068\u3057\u3066": [1, 53, 56, 57, 58, 59, 61, 62], "\u3068\u3059\u308b": 1, "\u3068\u305d\u306e": [59, 61], "\u3068\u3064": 59, "\u3068\u306e": [1, 60], "\u3068\u3082": 59, "\u3068\u8868\u3059": 1, "\u306a\u3044": [1, 53, 56, 57, 59, 61], "\u306a\u304a": [57, 62], "\u306a\u304c\u3089": 56, "\u306a\u304f": [53, 57, 60], "\u306a\u3063": [1, 53, 56, 57, 59, 62], "\u306a\u3069": [1, 51, 53, 54, 56, 57, 58, 62], "\u306a\u308a": [1, 53, 54, 56, 59, 60], "\u306a\u308b": [1, 53, 57, 59, 60, 62], "\u306a\u308f\u3061": 59, "\u306b\u304a\u3051\u308b": 1, "\u306b\u304a\u5bc4\u305b\u304f": 51, "\u306b\u3059\u308b": 1, "\u306b\u3064\u3044\u3066": [1, 51, 53, 54, 56, 59, 61, 62], "\u306b\u3088\u3063": [1, 54, 60], "\u306b\u3088\u3063\u3066": 54, "\u306b\u3088\u308a": [1, 53, 54, 57, 58, 60], "\u306b\u3088\u308b": [52, 53, 54, 55, 57, 58], "\u306b\u3088\u308c": 1, "\u306b\u5bfe\u3057": [1, 53, 54, 56, 57, 62], "\u306b\u5bfe\u3059\u308b": [56, 57, 58], "\u306b\u5bfe\u5fdc": 60, "\u306b\u95a2\u3059\u308b": [1, 51, 53, 57], "\u306e\u3044": [53, 57, 59], "\u306e\u3046\u3061": 59, "\u306e\u307f": [57, 62], "\u306f\u3058\u3081": [52, 55], "\u306f\u305d\u308c\u305e\u308c": [57, 59], "\u3072\u3068\u3064": 59, "\u307b\u3069": 59, "\u307b\u307c": 1, "\u307e\u3057": [0, 54, 56], "\u307e\u3059": [0, 1, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "\u307e\u305a": [1, 57], "\u307e\u305b": 57, "\u307e\u305f": [1, 53, 56, 57, 58, 59, 62], "\u307e\u3060": [1, 57], "\u307e\u3060\u308f\u304b\u3063": 1, "\u307e\u3067": [53, 57, 58, 60, 61, 62], "\u307f\u305f\u3044": 62, "\u307f\u307e\u3057\u3087": [57, 59], "\u3082\u3057": 1, "\u3082\u3068": [54, 62], "\u3082\u306e": [56, 57, 59, 62], "\u3082\u308a": 1, "\u3088\u3044": [1, 57, 62], "\u3088\u3046": [1, 53, 54, 56, 57, 58, 59, 60, 61, 62], "\u3088\u308a": [1, 53, 54, 57, 59], "\u3089\u308c": [1, 56, 61, 62], "\u3089\u308c\u308b": [1, 54], "\u308c\u308b": [1, 53, 54, 57, 60], "\u308f\u304b\u3063": 1, "\u3092\u901a\u3057": 55, "\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0": [52, 53, 54], "\u30a4\u30c6\u30ec\u30fc\u30b7\u30e7\u30f3": 1, "\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": [51, 52], "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6": [52, 53, 55, 57, 61], "\u30a4\u30f3\u30bf\u30fc\u30d0\u30eb": 57, "\u30a4\u30f3\u30dd\u30fc\u30c8": 57, "\u30aa\u30d6\u30b8\u30a7\u30af\u30c8": [53, 57, 58], "\u30aa\u30d7\u30b7\u30e7\u30f3": 53, "\u30aa\u30da\u30ec\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0": 51, "\u30aa\u30fc\u30c0\u30fc": 56, "\u30ab\u30fc\u30cd\u30eb": 1, "\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3": 51, "\u30ac\u30a6\u30b7\u30a2\u30f3": 56, "\u30ac\u30a6\u30b9": [1, 52, 53, 54, 55, 57], "\u30ac\u30a6\u30b9\u30ab\u30fc\u30cd\u30eb": 1, "\u30ad\u30fc\u30ef\u30fc\u30c9": 57, "\u30af\u30e9\u30b9": [53, 55], "\u30af\u30ed\u30fc\u30f3": 53, "\u30b0\u30ea\u30c3\u30c9": [57, 59, 62], "\u30b3\u30b9\u30c8": [1, 53, 54], "\u30b3\u30de\u30f3\u30c9": 53, "\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30bf": 57, "\u30b3\u30ec\u30b9\u30ad\u30fc": 1, "\u30b3\u30f3\u30b9\u30c8\u30e9\u30af\u30bf": 57, "\u30b3\u30f3\u30bf\u30af\u30c8": 51, "\u30b3\u30f3\u30d1\u30a4\u30e9": 51, "\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0": [1, 53, 59], "\u30b5\u30f3\u30d7\u30eb\u30b9\u30af\u30ea\u30d7\u30c8": 62, "\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3": [1, 53, 54], "\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30d1\u30e9\u30e1\u30fc\u30bf": [1, 54], "\u30b7\u30df\u30e5\u30ec\u30fc\u30bf": 57, "\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba": 55, "\u30b7\u30fc\u30c9": [57, 58, 60, 61], "\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3": 54, "\u30b9\u30b1\u30fc\u30e9\u30d6\u30eb": 54, "\u30b9\u30b3\u30a2": [1, 57, 61, 62], "\u30b9\u30bf\u30f3\u30c0\u30fc\u30c9": 54, "\u30b9\u30bf\u30fc\u30c8": 1, "\u30b9\u30c6\u30c3\u30d7": [1, 53, 57, 58, 60], "\u30bb\u30c3\u30c8": [53, 58, 60, 61], "\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2": [0, 54], "\u30bd\u30fc\u30b9": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 45, 46, 47, 48, 49, 50], "\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9": [53, 54], "\u30bd\u30fc\u30b9\u30d5\u30a1\u30a4\u30eb": 53, "\u30bd\u30fc\u30c8": 59, "\u30bf\u30a4\u30d7": 57, "\u30bf\u30a4\u30df\u30f3\u30b0": [53, 57], "\u30bf\u30b9\u30af": [1, 53, 54], "\u30bf\u30fc\u30b2\u30c3\u30c8": 54, "\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb": [52, 53, 56, 57, 58, 59, 60, 61, 62], "\u30c4\u30fc\u30eb": 54, "\u30c6\u30b9\u30c8": 55, "\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf": 56, "\u30c7\u30a3\u30ec\u30af\u30c8\u30ea": [56, 58, 60, 61], "\u30c7\u30d5\u30a9\u30eb\u30c8": [53, 57], "\u30c7\u30fc\u30bf": [1, 54, 55], "\u30c7\u30fc\u30bfx": 56, "\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30d5\u30a1\u30a4\u30eb": [56, 58, 60, 61], "\u30c8\u30d4\u30c3\u30af": 51, "\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5": 59, "\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf": [56, 62], "\u30c8\u30f3\u30d7\u30bd\u30f3\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0": 1, "\u30c8\u30fc\u30bf\u30eb": [53, 57], "\u30ca\u30ce\u30a2\u30fc\u30ad\u30c6\u30af\u30c8\u30cb\u30af\u30b9": 54, "\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30bf": 1, "\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf": 57, "\u30d0\u30b0": 51, "\u30d0\u30fc\u30b8\u30e7\u30f3": 51, "\u30d1\u30e9\u30e1\u30bf": 56, "\u30d1\u30e9\u30e1\u30fc\u30bf": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 44, 46, 47, 50, 53, 54, 55, 56, 57, 58], "\u30d1\u30e9\u30e1\u30fc\u30bf\u30bb\u30c3\u30c8": 53, "\u30d1\u30ec\u30fc\u30c8\u30eb\u30fc\u30eb": 59, "\u30d4\u30fc\u30af": 59, "\u30d5\u30a1\u30a4\u30eb": [51, 53, 57, 58, 61], "\u30d7\u30ed\u30b0\u30e9\u30e0\u30d1\u30c3\u30b1\u30fc\u30b8": 54, "\u30d7\u30ed\u30b8\u30a7\u30af\u30c8": [0, 54], "\u30d7\u30ed\u30bb\u30b9": [1, 54, 56, 58, 61], "\u30d7\u30ed\u30c3\u30c8": [55, 57], "\u30d9\u30a4\u30ba": [52, 53, 54, 55, 56, 58, 60, 61], "\u30d9\u30af\u30c8\u30eb": [1, 53], "\u30d9\u30b9\u30c8": [53, 57, 60], "\u30d9\u30f3\u30c1\u30de\u30fc\u30af": 59, "\u30d9\u30fc\u30b9\u30af\u30e9\u30b9": [6, 8, 12, 13, 14, 16, 19, 20, 21, 23, 27, 29, 30, 31, 35, 37, 38, 41, 42, 44, 45, 46, 50], "\u30db\u30fc\u30e0\u30c7\u30a3\u30ec\u30af\u30c8\u30ea": 53, "\u30de\u30a4\u30ca\u30b9": 53, "\u30e1\u30bd\u30c3\u30c9": [53, 57, 59], "\u30e1\u30c3\u30bb\u30fc\u30b8": 59, "\u30e1\u30e2": [10, 41, 44], "\u30e2\u30b8\u30e5\u30fc\u30eb": 53, "\u30e2\u30c7\u30eb": [1, 55, 58], "\u30e6\u30fc\u30b6": 53, "\u30e9\u30a4\u30bb\u30f3\u30b9": 52, "\u30e9\u30a4\u30d6\u30e9\u30ea": 54, "\u30e9\u30f3\u30c0\u30e0": [53, 56, 59, 61, 62], "\u30e9\u30f3\u30c0\u30e0\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0": [58, 59], "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1": 60, "\u30ea\u30b9\u30c8": [60, 61], "\u30ea\u30b9\u30c8\u30a2\u30c3\u30d7": [1, 53, 54], "\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9": 53, "\u30eb\u30fc\u30d7": [53, 57], "\u30ec\u30dd\u30b8\u30c8\u30ea": 53, "\u30ed\u30fc\u30c9": [53, 57, 58], "\u30fb\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3": [1, 54], "\u30fb\u30d7\u30ed\u30bb\u30b9": 1, "\u4e00\u3064": [1, 56, 57, 62], "\u4e00\u5ea6": [52, 53, 55, 57, 62], "\u4e00\u5f0f": 54, "\u4e00\u6176": 54, "\u4e00\u65b9": 54, "\u4e00\u69d8": 1, "\u4e00\u6b21\u5143": [57, 62], "\u4e00\u756a": [57, 62], "\u4e00\u822c": [1, 54, 57, 62], "\u4e0a\u754c": 59, "\u4e0a\u8a18": [53, 57, 59], "\u4e0a\u8ff0": 61, "\u4e0b\u3055\u3044": [53, 54], "\u4e0b\u8a18": 60, "\u4e0d\u78ba": 1, "\u4e0e\u3048": [1, 56, 58], "\u4e0e\u3048\u308b": 53, "\u4e26\u5217": 57, "\u4e26\u5217\u5316": 55, "\u4e2d\u65ad": 55, "\u4e2d\u8eab": 59, "\u4e88\u6e2c": [1, 53, 54, 55, 58], "\u4e88\u6e2c\u5024": 56, "\u4e8b\u524d": [55, 56, 62], "\u4e8b\u5f8c": [1, 53, 57, 59], "\u4e8c\u4e57": 56, "\u4eba\u624b": 58, "\u4eca\u56de": [57, 60, 62], "\u4ed5\u69d8": [57, 62], "\u4ed8\u9332": 55, "\u4ee5\u4e0a": [53, 57, 60], "\u4ee5\u4e0b": [1, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "\u4ee5\u964d": 59, "\u4eee\u5b9a": 59, "\u4efb\u610f": [1, 59], "\u4f1a\u793e": 54, "\u4f4d\u7f6e": 59, "\u4f55\u3089\u304b": [53, 57], "\u4f5c\u6210": 53, "\u4f7f\u308f": 1, "\u4f7f\u7528": [51, 52, 55, 56, 57, 62], "\u4f8b\u3048": [1, 53, 56, 57, 58], "\u4f8b\u3068\u3057\u3066": [56, 57], "\u4f8b\u5916": [41, 44, 47], "\u4f8b\u984c": [57, 62], "\u4f9d\u5b58": [53, 57], "\u4fc2\u6570": 1, "\u4fdd\u5b58": [53, 56, 57, 58, 60, 61], "\u500b\u5225": 58, "\u5019\u88dc": [1, 52, 53, 54, 55, 62], "\u501f\u308a": 0, "\u504f\u5dee": 56, "\u512a\u308c": 59, "\u5143\u914d": 56, "\u5148\u307b\u3069": [53, 57], "\u5165\u3063": 53, "\u5165\u529b": [51, 53, 56, 59, 60], "\u5168\u3066": [53, 61, 62], "\u5168\u5019": 57, "\u5168\u63a2": 55, "\u5171\u5206": 56, "\u5171\u5206\u6563": 56, "\u5171\u901a": 59, "\u518d\u3073": 61, "\u518d\u958b": 55, "\u51e6\u7406": 58, "\u51fa\u3059": [1, 54], "\u51fa\u529b": [51, 53, 56, 57], "\u5206\u304b\u308a": 59, "\u5206\u5272": [57, 62], "\u5206\u5e03": [1, 53, 57, 59], "\u5206\u6563": [1, 56, 57], "\u5206\u89e3": 1, "\u5206\u91ce": 54, "\u5217\u884c": 1, "\u521d\u3081": 57, "\u521d\u671f": [1, 53, 57, 61, 62], "\u521d\u671f\u5316": 1, "\u5225\u500b": [53, 57], "\u5229\u7528": [1, 54, 56, 57, 59, 61], "\u5236\u5fa1": [53, 57, 58], "\u5236\u9650": 61, "\u523b\u3093": [57, 62], "\u524a\u9664": 58, "\u524d\u51e6": 53, "\u524d\u8ff0": 1, "\u52a0\u308f\u3063": 1, "\u52a0\u901f": 54, "\u52b9\u7387": 59, "\u5316\u51fa": 57, "\u5316\u554f": 59, "\u5316\u5b66": 54, "\u5316\u5b9f": 58, "\u5316\u624b": 59, "\u5316\u65b9": 53, "\u5316\u7528": 59, "\u533b\u79d1": 54, "\u5358\u76ee": 59, "\u5360\u3081\u308b": 59, "\u53b3\u5bc6": 1, "\u53c2\u7167": [1, 6, 53, 54, 56, 57], "\u53c2\u8003": [53, 59], "\u53d6\u3063": [57, 62], "\u53d6\u308a\u51fa\u3059": [57, 62], "\u53d6\u5f97": 55, "\u53d7\u3051": [0, 54], "\u53d7\u3051\u4ed8\u3051": 51, "\u53ef\u80fd": [1, 53, 54, 56, 57, 62], "\u53f3\u4e0a": 59, "\u5404\u5019": 59, "\u5404\u5217": 1, "\u5404\u624b": 53, "\u5404\u63a2": [53, 60], "\u5408\u308f": 52, "\u5408\u8a08": 60, "\u5409\u898b": 54, "\u540c\u3058": [56, 60, 62], "\u540c\u3058\u304f": 59, "\u540c\u6642": 53, "\u540c\u69d8": [56, 58, 60, 61], "\u5411\u3051": 53, "\u542b\u307e": 56, "\u547c\u3070": 1, "\u547c\u3073": 59, "\u547c\u3073\u51fa\u3059": 62, "\u547c\u3076": 59, "\u554f\u3044\u5408\u308f\u305b": 51, "\u554f\u3044\u5408\u308f\u305b\u308b": 51, "\u554f\u984c": [1, 51, 53, 54, 56, 57, 62], "\u56de\u3059": [53, 57], "\u56de\u308a": [53, 57], "\u56de\u5e30": [1, 53, 54, 55, 56], "\u56de\u6570": [1, 54], "\u56f0\u96e3": 54, "\u56f3\u793a": 59, "\u56fd\u969b": 54, "\u57df\u5275": 54, "\u57fa\u5e95": 57, "\u57fa\u672c": [52, 55, 59, 60], "\u5831\u544a": 51, "\u5834\u5408": [1, 51, 53, 54, 56, 57, 58, 59, 60, 61, 62], "\u5909\u3048": 59, "\u5909\u308f\u308a": 57, "\u5909\u5f62": [56, 57, 62], "\u5909\u63db": 56, "\u5909\u6570": [1, 53, 57, 61, 62], "\u5909\u66f4": 51, "\u5916\u90e8": [53, 57, 58, 61], "\u591a\u304f": [54, 59], "\u591a\u6b21\u5143": 59, "\u591a\u76ee": [52, 55], "\u5927\u304d": [1, 53, 54, 59], "\u5927\u304d\u3044": 59, "\u5927\u5b66": [0, 54], "\u5927\u5b66\u9662": 54, "\u5927\u5c0f": 59, "\u5b58\u5728": 59, "\u5b66\u7814": 54, "\u5b66\u7fd2": [1, 53, 54, 55, 57, 58], "\u5b66\u7fd2\u6e08": 56, "\u5b66\u9662": 54, "\u5b89\u5b9a": 56, "\u5b8f\u6cbb": 54, "\u5b9a\u7fa9": [1, 53, 55], "\u5b9f\u4e16\u754c": [1, 53, 54], "\u5b9f\u6570": 56, "\u5b9f\u65bd": 62, "\u5b9f\u73fe": [1, 54], "\u5b9f\u884c": [1, 51, 52, 55, 56], "\u5b9f\u88c5": [54, 59], "\u5b9f\u969b": [1, 56], "\u5b9f\u9a13": [1, 53, 54, 57, 58], "\u5bc6\u5ea6": 1, "\u5bfa\u5c71": 54, "\u5bfe\u8c61": 56, "\u5c0e\u5165": 1, "\u5c11\u306a\u3044": [1, 54], "\u5c24\u5ea6": 56, "\u5c65\u6b74": [53, 57, 58, 59, 60, 62], "\u5ddd\u5cf6": 54, "\u5de6\u4e0b": 59, "\u5e02\u7acb": 54, "\u5e73\u5747": [1, 56], "\u5e74\u5ea6": [0, 54], "\u5f15\u6570": [53, 57, 60], "\u5f15\u7528": 52, "\u5f62\u5f0f": [56, 57, 62], "\u5f8c\u8ff0": 60, "\u5f93\u3046": 1, "\u5f93\u3063": 51, "\u5f97\u3089\u308c": 60, "\u5f97\u308b": [58, 61], "\u5fc5\u8981": [1, 56, 57, 62], "\u60aa\u5316": 59, "\u60c5\u5831": [51, 57, 60], "\u610f\u5473": 59, "\u611f\u8b1d": 0, "\u6210\u79d1": 54, "\u6210\u7acb": 1, "\u623b\u308a\u5024": [6, 8, 10, 12, 13, 14, 16, 19, 20, 21, 23, 25, 27, 29, 30, 31, 33, 34, 35, 37, 41, 42, 44, 47, 50], "\u624b\u6cd5": [1, 54], "\u624b\u8efd": 59, "\u624b\u9806": [53, 56, 57], "\u6271\u3044": 56, "\u6271\u3046": 54, "\u6280\u8853": [1, 54], "\u62bd\u8c61": 53, "\u62e0\u70b9": 54, "\u6301\u3064": [1, 54, 57, 62], "\u6307\u3057": 59, "\u6307\u5b9a": [51, 53, 57, 58, 59, 60], "\u6307\u6a19": 59, "\u639b\u3051": 59, "\u63a2\u3057": 53, "\u63a2\u7d22": [1, 52, 53, 54, 55], "\u63a8\u5968": 53, "\u63a8\u79fb": 57, "\u63a8\u85a6": 59, "\u63c3\u3063": 1, "\u63d0\u6848": [53, 57, 58], "\u652f\u63f4": [0, 54], "\u6539\u5584": [1, 59], "\u6570\u5024": [53, 57], "\u6587\u732e": [1, 53, 54, 56, 59], "\u65b0\u3057\u304f": 1, "\u65b0\u9818": 54, "\u65b9\u5411": 53, "\u65b9\u6cd5": [52, 55, 59, 62], "\u65e2\u5b58": [52, 55], "\u65e9\u671f": 51, "\u6607\u9806": 59, "\u6642\u9593": [1, 56, 59, 61], "\u66f4\u65b0": [1, 53, 59], "\u6700\u521d": [53, 57, 62], "\u6700\u5927": [1, 53, 54, 57, 59, 62], "\u6700\u5c0f": [57, 62], "\u6700\u5c0f\u5024": [57, 59, 62], "\u6700\u5c0f\u5316": 53, "\u6700\u5f8c": [57, 62], "\u6700\u9069": [52, 53, 54, 55, 56, 58, 60, 61], "\u6700\u9069\u5316": [53, 55], "\u6700\u9069\u89e3": 53, "\u6709\u52b9": [54, 57], "\u6709\u7528": 1, "\u671f\u5f85": [1, 53, 57, 59], "\u672c\u4f53": 53, "\u672c\u5c71": 54, "\u6750\u6599": [1, 53, 54], "\u6771\u4eac": [0, 54], "\u6771\u4eac\u5927\u5b66\u5927": 54, "\u67d4\u8edf": 58, "\u682a\u5f0f": 54, "\u683c\u7d0d": 61, "\u690d\u91ce": 54, "\u6975\u9650": 1, "\u69cb\u6210": 53, "\u69cb\u9020": [1, 52, 54, 56], "\u6a19\u6e96": 56, "\u6a2a\u6d5c": 54, "\u6a5f\u68b0": [1, 54], "\u6a5f\u69cb": 54, "\u6b21\u5143": [1, 53, 57, 59, 62], "\u6b21\u5f0f": 1, "\u6b63\u3057\u3044": [57, 62], "\u6b63\u898f": 53, "\u6bb5\u968e": [1, 53, 57], "\u6bce\u56de": [1, 57, 62], "\u6bd4\u8f03": 59, "\u6c42\u307e\u3063": [57, 59], "\u6c42\u3081": [56, 59], "\u6c42\u3081\u308b": [57, 59, 62], "\u6c7a\u307e\u308a": 1, "\u6ce8\u610f": [1, 59], "\u6d25\u7530": 54, "\u6d41\u308c": [52, 58, 61], "\u6e08\u307f": 56, "\u6e1b\u3089": 59, "\u6e21\u3055": 53, "\u6e21\u3057": 57, "\u6e21\u3059": 59, "\u6e21\u3059\u969b": 56, "\u6e96\u3058": 54, "\u6e96\u5099": 55, "\u7269\u6027": [0, 54], "\u7269\u7406": 54, "\u7269\u8cea": 54, "\u7279\u5fb4": 54, "\u7279\u6027": [1, 53, 54], "\u72b6\u614b": [1, 59], "\u72b6\u6cc1": 1, "\u7372\u5f97": [1, 53, 55], "\u73fe\u5728": [1, 57], "\u73fe\u72b6": 53, "\u751f\u3058": 51, "\u751f\u547d": 54, "\u751f\u6210": [1, 56, 59], "\u7528\u3044": [1, 53, 56, 57], "\u7528\u3044\u308b": [1, 53, 58, 62], "\u7528\u610f": [1, 53, 55, 62], "\u7530\u6751": 54, "\u754c\u9762": 56, "\u7559\u610f": 60, "\u756a\u53f7": [57, 62], "\u767a\u898b": 54, "\u767b\u9332": [53, 55, 56, 57, 58], "\u76ee\u7684": [1, 53, 54, 56, 57, 58, 62], "\u76f4\u5f8c": 56, "\u76f4\u8f1d": 54, "\u76f8\u8ac7": 51, "\u77e5\u3089": 51, "\u77e9\u5f62": 59, "\u7814\u7a76": [0, 51, 54], "\u7814\u7a76\u6240": 54, "\u78ba\u7387": [1, 53, 59], "\u78ba\u8a8d": [53, 55], "\u793a\u3057": [1, 57, 62], "\u793a\u3059": 59, "\u79d1\u5b66": 54, "\u7a2e\u985e": 53, "\u7a76\u79d1": 54, "\u7a7a\u9593": [1, 53, 57, 59], "\u7b54\u3048": [57, 62], "\u7bc4\u56f2": 57, "\u7d22\u5019": 53, "\u7d2f\u7a4d": 1, "\u7d39\u4ecb": [1, 55, 56, 62], "\u7d44\u6210": [1, 54], "\u7d50\u679c": [52, 53, 55, 56], "\u7d9a\u3044": 57, "\u7dda\u5f62": 1, "\u7de9\u548c": 56, "\u7e70\u308a\u8fd4\u3059": [1, 54, 61], "\u8003\u3048": [1, 54], "\u81ea\u3089\u3088\u308a": 59, "\u81ea\u52d5": 1, "\u81ea\u8eab": 59, "\u826f\u3044": [1, 54, 59], "\u826f\u304f": 1, "\u884c\u3044": [1, 53, 54, 56, 57, 58, 59, 61], "\u884c\u3046": [1, 53, 56, 58, 62], "\u884c\u304d\u7740\u3044": [57, 62], "\u884c\u3063": [1, 57, 58, 62], "\u884c\u306a\u3063": 56, "\u884c\u308f": [54, 57], "\u884c\u5217": [1, 57], "\u8868\u3057": 1, "\u8868\u3059": 1, "\u8868\u73fe": 1, "\u8868\u793a": [53, 57, 58, 59], "\u88d5\u4e00": 54, "\u88dc\u70b9": 57, "\u8907\u6570": [52, 53, 55, 57, 59, 62], "\u8907\u96d1": [1, 53, 54], "\u8981\u3057": 56, "\u898b\u3064\u3051": [1, 54], "\u898b\u7a4d": 1, "\u89e3\u304b": [1, 54], "\u89e3\u304d": 57, "\u89e3\u304f": 1, "\u89e3\u6c7a": 51, "\u89e3\u7a7a\u9593": 59, "\u89e3\u96c6\u5408": 59, "\u89e3\u9818": 59, "\u8a08\u753b": 54, "\u8a08\u7b97": [1, 52, 54, 55, 56, 57, 62], "\u8a13\u7df4": 56, "\u8a13\u7df4\u6e08": 55, "\u8a18\u61b6": 56, "\u8a18\u8f09": [51, 53, 62], "\u8a2d\u5b9a": [1, 56, 57, 62], "\u8a55\u4fa1": [1, 53, 54, 55, 56, 57, 58, 59, 60, 62], "\u8a55\u4fa1\u5024": 58, "\u8a55\u4fa1\u6570": 60, "\u8a66\u307f": 54, "\u8a73\u3057\u304f": [53, 57], "\u8a73\u7d30": [1, 53, 54], "\u8aa4\u5dee": 56, "\u8aac\u660e": 1, "\u8aad\u307f\u51fa\u3057": [56, 58, 60, 61], "\u8aad\u307f\u8fbc\u307f": 61, "\u8aad\u307f\u8fbc\u3080": 61, "\u8aad\u307f\u8fbc\u3093": [52, 55], "\u8ab2\u984c": 59, "\u8b1d\u8f9e": 52, "\u8d85\u3048\u308b": [1, 53], "\u8fd1\u4f3c": 1, "\u8fd4\u3055": [53, 57], "\u8fd4\u3057": [57, 62], "\u8fd4\u3059": [53, 57, 60], "\u8fd4\u3059\u5024": 53, "\u8ffd\u52a0": [1, 53], "\u9014\u4e2d": 58, "\u901a\u308a": [53, 54], "\u901a\u5e38": [57, 59], "\u9023\u7d61": 51, "\u9032\u3081\u308b": 61, "\u904e\u7a0b": [1, 52, 53, 54, 55, 57], "\u9055\u3044": 60, "\u9069\u3057": [53, 58], "\u9078\u3070": 1, "\u9078\u3073": [1, 53, 62], "\u9078\u3093": [56, 57, 62], "\u9078\u51fa": 1, "\u9078\u5b9a": [1, 54], "\u9078\u629e": [53, 57, 59], "\u90e8\u5206": 59, "\u914d\u5e03": 54, "\u958b\u3044": 61, "\u958b\u767a": [0, 52, 53], "\u95a2\u4fc2": [1, 59, 61], "\u95a2\u6570": [1, 53, 54, 55, 56, 58, 61, 62], "\u95a2\u9023": [1, 51, 53], "\u975e\u52a3": 59, "\u9805\u76ee": [53, 57], "\u985e\u4f3c": 1, "\u98db\u3070\u3059": 62, "\u99c6\u52d5": 54, "\u9ad8\u3044": 54, "\u9ad8\u304f": 54, "\u9ad8\u5ea6": [0, 54], "\u9ad8\u901f": [52, 54], "\uff09,": 56, "\uff09\u3001": [53, 57, 58], "\uff11\u3064": 53, "\uff12\u3064": 1, "\uff12\u56de": 58}, "titles": ["\u8b1d\u8f9e", "\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0", "physbo", "physbo package", "physbo.blm package", "physbo.blm.basis package", "physbo.blm.basis.fourier module", "physbo.blm.core package", "physbo.blm.core.model module", "physbo.blm.inf package", "physbo.blm.inf.exact module", "physbo.blm.lik package", "physbo.blm.lik.gauss module", "physbo.blm.lik.linear module", "physbo.blm.predictor module", "physbo.blm.prior package", "physbo.blm.prior.gauss module", "physbo.gp package", "physbo.gp.core package", "physbo.gp.core.learning module", "physbo.gp.core.model module", "physbo.gp.core.prior module", "physbo.gp.cov package", "physbo.gp.cov.gauss module", "physbo.gp.inf package", "physbo.gp.inf.exact module", "physbo.gp.lik package", "physbo.gp.lik.gauss module", "physbo.gp.mean package", "physbo.gp.mean.const module", "physbo.gp.mean.zero module", "physbo.gp.predictor module", "physbo.misc package", "physbo.misc.centering module", "physbo.misc.gauss_elim module", "physbo.misc.set_config module", "physbo.opt package", "physbo.opt.adam module", "physbo.predictor module", "physbo.search package", "physbo.search.discrete package", "physbo.search.discrete.policy module", "physbo.search.discrete.results module", "physbo.search.discrete_multi package", "physbo.search.discrete_multi.policy module", "physbo.search.discrete_multi.results module", "physbo.search.pareto module", "physbo.search.score module", "physbo.search.score_multi module", "physbo.search.utility module", "physbo.variable module", "\u304a\u554f\u3044\u5408\u308f\u305b", "Welcome to PHYSBO's documentation!", "\u57fa\u672c\u7684\u306a\u4f7f\u7528\u65b9\u6cd5", "\u306f\u3058\u3081\u306b", "\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb", "\u30ac\u30a6\u30b9\u904e\u7a0b", "PHYSBO \u306e\u57fa\u672c", "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306b\u5b9f\u884c\u3059\u308b", "\u591a\u76ee\u7684\u6700\u9069\u5316", "\u8907\u6570\u5019\u88dc\u3092\u4e00\u5ea6\u306b\u63a2\u7d22\u3059\u308b", "\u65e2\u5b58\u306e\u8a08\u7b97\u7d50\u679c\u3092\u8aad\u307f\u8fbc\u3093\u3067\u5b9f\u884c\u3059\u308b", "simulator\u30af\u30e9\u30b9\u306e\u5b9a\u7fa9"], "titleterms": {"'s": 52, "-based": 59, "-volume": 59, ".adam": 37, ".basis": [5, 6], ".blm": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], ".centering": 33, ".const": 29, ".core": [7, 8, 18, 19, 20, 21], ".cov": [22, 23], ".discrete": [40, 41, 42, 43, 44, 45], ".exact": [10, 25], ".fourier": 6, ".gauss": [12, 16, 23, 27, 34], ".gp": [17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], ".inf": [9, 10, 24, 25], ".learning": 19, ".lik": [11, 12, 13, 26, 27], ".linear": 13, ".mean": [28, 29, 30], ".misc": [32, 33, 34, 35], ".model": [8, 20], ".opt": [36, 37], ".pareto": 46, ".policy": [41, 44], ".predictor": [14, 31, 38], ".prior": [15, 16, 21], ".results": [42, 45], ".score": [47, 48], ".search": [39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49], ".set": 35, ".utility": 49, ".variable": 50, ".zero": 30, "1\u3064": 59, "2\u3064": 59, "_config": 35, "_elim": 34, "_multi": [43, 44, 45, 48], "action": 61, "contents": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43, 52, 55], "documentation": 52, "dominated": 59, "ehvi": 59, "expected": 59, "hvpi": 59, "hyper": 59, "hypervolume": 59, "id": 61, "improvement": 59, "module": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], "of": 59, "package": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43], "physbo": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 57, 61], "policy": [57, 59], "probability": 59, "region": 59, "sampling": 59, "simulator": [57, 58, 59, 60, 62], "submodules": [3, 4, 5, 7, 9, 11, 15, 17, 18, 22, 24, 26, 28, 32, 36, 39, 40, 43], "subpackages": [3, 4, 17, 39], "thompson": 59, "to": 52, "ts": 59, "welcome": 52, "\u304a\u554f\u3044": 51, "\u304b\u3089": 61, "\u3059\u308b": [58, 60, 61], "\u306b\u3088\u308b": [1, 56], "\u306f\u3058\u3081": [54, 57], "\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0": 1, "\u30a2\u30f3\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": 53, "\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb": 53, "\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6": 58, "\u30ac\u30a6\u30b9": 56, "\u30af\u30e9\u30b9": [57, 62], "\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba": 57, "\u30bb\u30c3\u30c8": [57, 59], "\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9": 53, "\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb": 55, "\u30c6\u30b9\u30c8": 59, "\u30c7\u30fc\u30bf": [56, 57, 58, 59, 60, 61], "\u30d1\u30c3\u30b1\u30fc\u30b8": 53, "\u30d1\u30e9\u30e1\u30fc\u30bf": 61, "\u30d1\u30ec\u30fc\u30c8": 59, "\u30d7\u30ed\u30c3\u30c8": 59, "\u30d9\u30a4\u30ba": [1, 57, 59, 62], "\u30e2\u30c7\u30eb": 56, "\u30e9\u30a4\u30bb\u30f3\u30b9": 54, "\u30e9\u30f3\u30c0\u30e0\u30b5\u30fc\u30c1": [57, 59, 62], "\u4e00\u5ea6": 60, "\u4e26\u5217\u5316": 57, "\u4e2d\u65ad": 58, "\u4e88\u6e2c": 56, "\u4e8b\u524d": 61, "\u4ed8\u9332": 59, "\u4f53\u7a4d": 59, "\u4f7f\u7528": 53, "\u5019\u88dc": [56, 57, 58, 59, 60, 61], "\u5168\u63a2": 59, "\u518d\u958b": 58, "\u52a3\u89e3": 59, "\u52a3\u89e3\u9818": 59, "\u53d6\u5f97": [59, 61], "\u5408\u308f": 51, "\u56de\u5e30": 57, "\u57df\u4f53": 59, "\u57fa\u672c": [53, 57], "\u591a\u76ee": 59, "\u5b66\u7fd2": 56, "\u5b9a\u7fa9": [56, 57, 58, 59, 60, 62], "\u5b9f\u884c": [53, 57, 58, 59, 60, 61], "\u5f15\u7528": 54, "\u5fc5\u8981": 53, "\u63a2\u7d22": [56, 57, 58, 59, 60, 61, 62], "\u65b9\u6cd5": 53, "\u65e2\u5b58": 61, "\u6700\u9069": [1, 57, 59, 62], "\u6700\u9069\u5316": [57, 58, 59, 60], "\u69cb\u9020": 53, "\u6d41\u308c": 53, "\u6e96\u5099": [56, 57, 58, 59, 60, 61], "\u7372\u5f97": 57, "\u74b0\u5883": 53, "\u7528\u610f": 61, "\u767b\u9332": 61, "\u76ee\u7684": 59, "\u78ba\u8a8d": [57, 59, 60], "\u7a7a\u9593": 62, "\u7d50\u679c": [57, 59, 60, 61, 62], "\u8868\u793a": 62, "\u8907\u6570": 60, "\u8a08\u7b97": [53, 59, 61], "\u8a13\u7df4\u6e08": 56, "\u8a55\u4fa1": 61, "\u8a55\u4fa1\u5024": 59, "\u8aad\u307f\u8fbc\u3093": 61, "\u8b1d\u8f9e": 0, "\u904e\u7a0b": 56, "\u958b\u767a": 54, "\u95a2\u6570": [57, 59], "\u9818\u57df": 59, "\u9ad8\u901f": 1}}) \ No newline at end of file