From 7070020b1de2869964187d228b1e8c29bb2c2f66 Mon Sep 17 00:00:00 2001 From: Steve Bronder Date: Mon, 25 Sep 2023 15:33:05 -0400 Subject: [PATCH] Fix argument names to line up with cmdstanpy args --- R/args.R | 35 +++++++++------ R/fit.R | 2 +- R/model.R | 53 +++++++++++------------ tests/testthat/test-model-pathfinder.R | 57 +++++++++++++------------ tests/testthat/testthat-problems.rds | Bin 895142 -> 60843 bytes 5 files changed, 79 insertions(+), 68 deletions(-) diff --git a/R/args.R b/R/args.R index 3144fabb..2d622e86 100644 --- a/R/args.R +++ b/R/args.R @@ -514,10 +514,11 @@ PathfinderArgs <- R6::R6Class( tol_rel_grad = NULL, tol_param = NULL, history_size = NULL, - num_psis_draws = NULL, + num_draws = NULL, num_paths = NULL, max_lbfgs_iters = NULL, - num_draws = NULL) { + num_elbo_draws = NULL, + save_single_paths = NULL) { self$init_alpha <- init_alpha self$tol_obj <- tol_obj self$tol_rel_obj <- tol_rel_obj @@ -525,10 +526,11 @@ PathfinderArgs <- R6::R6Class( self$tol_rel_grad <- tol_rel_grad self$tol_param <- tol_param self$history_size <- history_size - self$num_psis_draws <- num_psis_draws + self$num_draws <- num_draws self$num_paths <- num_paths self$max_lbfgs_iters <- max_lbfgs_iters - self$num_draws <- num_draws + self$num_elbo_draws <- num_elbo_draws + self$save_single_paths <- save_single_paths invisible(self) }, @@ -536,9 +538,9 @@ PathfinderArgs <- R6::R6Class( validate_pathfinder_args(self) }, - # Compose arguments to CmdStan command for variational-specific + # Compose arguments to CmdStan command for pathfinder-specific # non-default arguments. Works the same way as compose for sampler args, - # but `idx` is ignored (no multiple chains for optimize or variational) + # but `idx` (multiple pathfinders are handled in cmdstan) compose = function(idx = NULL, args = NULL) { .make_arg <- function(arg_name) { compose_arg(self, arg_name, idx = NULL) @@ -552,10 +554,11 @@ PathfinderArgs <- R6::R6Class( .make_arg("tol_rel_grad"), .make_arg("tol_param"), .make_arg("history_size"), - .make_arg("num_psis_draws"), + .make_arg("num_draws"), .make_arg("num_paths"), .make_arg("max_lbfgs_iters"), - .make_arg("num_draws") + .make_arg("num_elbo_draws"), + .make_arg("save_single_paths") ) new_args <- do.call(c, new_args) c(args, new_args) @@ -867,14 +870,22 @@ validate_pathfinder_args <- function(self) { if (!is.null(self$num_paths)) { self$num_paths <- as.integer(self$num_paths) } - checkmate::assert_integerish(self$num_psis_draws, lower = 1, null.ok = TRUE, len = 1) - if (!is.null(self$num_psis_draws)) { - self$num_psis_draws <- as.integer(self$num_psis_draws) - } checkmate::assert_integerish(self$num_draws, lower = 1, null.ok = TRUE, len = 1) if (!is.null(self$num_draws)) { self$num_draws <- as.integer(self$num_draws) } + checkmate::assert_integerish(self$num_elbo_draws, lower = 1, null.ok = TRUE, len = 1) + if (!is.null(self$num_elbo_draws)) { + self$num_elbo_draws <- as.integer(self$num_elbo_draws) + } + if (!is.null(self$save_single_paths) && is.logical(self$save_single_paths)) { + self$save_single_paths = as.integer(self$save_single_paths) + } + checkmate::assert_integerish(self$save_single_paths, null.ok = TRUE, + lower = 0, upper = 1, len = 1) + if (!is.null(self$save_single_paths)) { + self$save_single_paths <- 0 + } # check args only available for lbfgs and bfgs diff --git a/R/fit.R b/R/fit.R index 2f63f705..577891c7 100644 --- a/R/fit.R +++ b/R/fit.R @@ -1959,7 +1959,7 @@ CmdStanVB$set("public", name = "lp_approx", value = lp_approx) #' |:----------|:---------------| #' [`$draws()`][fit-method-draws] | Return approximate posterior draws as a [`draws_matrix`][posterior::draws_matrix]. | #' [`$lp()`][fit-method-lp] | Return the total log probability density (`target`) computed in the model block of the Stan program. | -#' [`$lp_approx()`][fit-method-lp] | Return the log density of the variational approximation to the posterior. | +#' [`$lp_approx()`][fit-method-lp] | Return the log density of the approximation to the posterior. | #' [`$init()`][fit-method-init] | Return user-specified initial values. | #' [`$metadata()`][fit-method-metadata] | Return a list of metadata gathered from the CmdStan CSV files. | #' [`$code()`][fit-method-code] | Return Stan code as a character vector. | diff --git a/R/model.R b/R/model.R index 0f2e935d..8322abc7 100644 --- a/R/model.R +++ b/R/model.R @@ -1677,29 +1677,25 @@ CmdStanModel$set("public", name = "variational", value = variational) #' -- [*CmdStan Interface User's Guide*](https://github.com/stan-dev/cmdstan/releases/latest) #' #' @template model-common-args -#' @param threads (positive integer) If the model was +#' @param num_threads (positive integer) If the model was #' [compiled][model-method-compile] with threading support, the number of -#' threads to use in parallelized sections (e.g., when using the Stan -#' functions `reduce_sum()` or `map_rect()`). -#' @param algorithm (string) The algorithm. Either `"meanfield"` or -#' `"fullrank"`. -#' @param iter (positive integer) The _maximum_ number of iterations. -#' @param grad_samples (positive integer) The number of samples for Monte Carlo -#' estimate of gradients. -#' @param elbo_samples (positive integer) The number of samples for Monte Carlo -#' estimate of ELBO (objective function). -#' @param eta (positive real) The step size weighting parameter for adaptive -#' step size sequence. -#' @param adapt_engaged (logical) Do warmup adaptation? -#' @param adapt_iter (positive integer) The _maximum_ number of adaptation -#' iterations. -#' @param tol_rel_obj (positive real) Convergence tolerance on the relative norm -#' of the objective. -#' @param eval_elbo (positive integer) Evaluate ELBO every Nth iteration. -#' @param output_samples (positive integer) Number of approximate posterior -#' samples to draw and save. -#' -#' @return A [`CmdStanVB`] object. +#' threads to use in parallelized sections (e.g., for multi-path pathfinder +#' as well as `reduce_sum`) +#' @param init_alpha (positive real) The initial step size parameter. +#' @param tol_obj (positive real) Convergence tolerance on changes in objective function value. +#' @param tol_rel_obj (positive real) Convergence tolerance on relative changes in objective function value. +#' @param tol_grad (positive real) Convergence tolerance on the norm of the gradient. +#' @param tol_rel_grad (positive real) Convergence tolerance on the relative norm of the gradient. +#' @param tol_param (positive real) Convergence tolerance on changes in parameter value. +#' @param history_size (positive integer) The size of the history used when +#' approximating the Hessian. +#' @param num_draws (positive integer) Number of draws to return after performing pareto smooted importance sampling (PSIS) +#' @param num_paths (positive integer) Number of single pathfinders to run +#' @param max_lbfgs_iters (positive integer) The maximum number of iterations for LBFGS +#' @param num_elbo_draws (positive integer) Number of draws to make when calculating the ELBO of +#' the approximation at each iteration of LBFGS +#' @param save_single_paths (logical) Whether to save the results of single pathfinder runs in multi-pathfinder +#' @return A [`CmdStanPathfinder`] object. #' #' @template seealso-docs #' @inherit cmdstan_model examples @@ -1712,7 +1708,6 @@ pathfinder <- function(data = NULL, output_dir = NULL, output_basename = NULL, sig_figs = NULL, - threads = NULL, opencl_ids = NULL, num_threads = NULL, init_alpha = NULL, @@ -1722,14 +1717,15 @@ pathfinder <- function(data = NULL, tol_rel_grad = NULL, tol_param = NULL, history_size = NULL, - num_psis_draws = NULL, + num_draws = NULL, num_paths = NULL, max_lbfgs_iters = NULL, - num_draws = NULL) { + num_elbo_draws = NULL, + save_single_paths = NULL) { procs <- CmdStanProcs$new( num_procs = 1, show_stdout_messages = (is.null(refresh) || refresh != 0), - threads_per_proc = assert_valid_threads(threads, self$cpp_options()) + threads_per_proc = assert_valid_threads(num_threads, self$cpp_options()) ) model_variables <- NULL if (is_variables_method_supported(self)) { @@ -1743,10 +1739,11 @@ pathfinder <- function(data = NULL, tol_rel_grad = tol_rel_grad, tol_param = tol_param, history_size = history_size, - num_psis_draws = num_psis_draws, + num_draws = num_draws, num_paths = num_paths, max_lbfgs_iters = max_lbfgs_iters, - num_draws = num_draws) + num_elbo_draws = num_elbo_draws, + save_single_paths = save_single_paths) args <- CmdStanArgs$new( method_args = pathfinder_args, stan_file = self$stan_file(), diff --git a/tests/testthat/test-model-pathfinder.R b/tests/testthat/test-model-pathfinder.R index 0516f490..532a8808 100644 --- a/tests/testthat/test-model-pathfinder.R +++ b/tests/testthat/test-model-pathfinder.R @@ -25,10 +25,11 @@ ok_arg_values <- list( tol_rel_grad = 1e-12, tol_param = 1e-12, history_size = 5, - num_psis_draws = 100, + num_elbo_draws = 10, + num_draws = 100, num_paths = 4, max_lbfgs_iters = 100, - num_draws = 100) + save_single_paths = FALSE) # using any one of these should cause sample() to error bad_arg_values <- list( @@ -38,16 +39,17 @@ bad_arg_values <- list( init = "maybe :P", seed = -80, init_alpha = "cat.jpeg", + init_alpha = -3, tol_obj = -1, - tol_rel_obj = -1, - tol_grad = -1, - tol_rel_grad = -1, - tol_param = -1, - history_size = -2, - num_psis_draws = "no thanks", + tol_rel_obj = -4, + tol_grad = -5, + tol_rel_grad = -9, + tol_param = -2, + history_size = -6, + num_elbo_draws = -8, + num_draws = "no thanks", num_paths = -1, - max_lbfgs_iters = "idk :/", - num_draws = -1 + max_lbfgs_iters = "idk :/" ) bad_arg_values_2 <- list( @@ -56,17 +58,18 @@ bad_arg_values_2 <- list( refresh = -1, init = "maybe :P", seed = -80, - init_alpha = -1, + init_alpha = -3, tol_obj = -1, - tol_rel_obj = -1, - tol_grad = -1, - tol_rel_grad = -1, - tol_param = -1, - history_size = -2, - num_psis_draws = "no thanks", + tol_rel_obj = -4, + tol_grad = -5, + tol_rel_grad = -9, + tol_param = -2, + history_size = -6, + num_elbo_draws = -8, + num_draws = "no thanks", num_paths = -1, max_lbfgs_iters = "idk :/", - num_draws = -1 + save_single_paths = "Mby" ) bad_arg_values_3 <- list( @@ -74,17 +77,17 @@ bad_arg_values_3 <- list( output_dir = 8, init = "maybe :P", seed = -80, - init_alpha = -1, + init_alpha = -3, tol_obj = -1, - tol_rel_obj = -1, - tol_grad = -1, - tol_rel_grad = -1, - tol_param = -1, - history_size = -2, - num_psis_draws = "no thanks", + tol_rel_obj = -4, + tol_grad = -5, + tol_rel_grad = -9, + tol_param = -2, + history_size = -6, + num_elbo_draws = -8, + num_draws = "no thanks", num_paths = "NO!", - max_lbfgs_iters = "idk :/", - num_draws = -1 + max_lbfgs_iters = "idk :/" ) expect_pathfinder_output <- function(object, num_chains = NULL) { expect_output(object, regexp = "Finished in (.*) seconds.") diff --git a/tests/testthat/testthat-problems.rds b/tests/testthat/testthat-problems.rds index 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