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Releases: Nixtla/statsforecast

v1.1.1

05 Oct 02:44
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What's Changed

  • [FEAT] Add Distributed post in #257
  • [FEAT] Fallback Model in #259

Full Changelog: v1.1.0...v1.1.1

v1.1.0

28 Sep 02:18
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What's Changed

  • [FIX] License in #191
  • [FIX] Add hide statement for ets cells in #192
  • [FEAT] New experiments neuralprophet in #195
  • [FIX] use ubuntu to deploy docs in #197
  • [FIX] Broken links in #203
  • [FEAT] Add linters and update contributing instructions in #205
  • [FIX] nbdev latest changes in #208
  • [FIX] python3.7 ci error in #214
  • fixing the argument name for external regressors in the example notebook in #200
  • [FIX] #210 in #213
  • Docstring based documentation in #209
  • [FIX] nbdev version until next release in #225
  • [FEAT] Prediction intervals for fitted values in #228
  • [FEAT] Add anomaly detection example in #229
  • [FEAT] Add single anomaly plot in #230
  • [FEAT] Add exogenous var use case and install instructions in #231
  • [FEAT] M5 scalability comparison in #232
  • Intervals for some simple methods in #201
  • [FEAT] Add prediction intervals example in #239
  • [FEAT] Auto CES model by in #238
  • [FIX] nbdev releases in #251
  • [FEAT] Add CES + ETS ensemble results in #252
  • [FIX] nbdev deploy to gihub pages in #253

New Contributors

Full Changelog: v1.0.0...v1.1.0

v1.0.0

15 Aug 20:33
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What's Changed

  • Add FugueBackend in #157
  • [FEAT] Add neuralprophet experiment in #181
  • [FEAT] nbdev2 integration in #186
  • [BREAKING CHANGE] SKLearn syntax in #184

Full Changelog: v0.7.1...v1.0.0

v0.7.1

23 Jul 21:18
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What's Changed

  • [FEAT] Fitted df returns in-sample values in #158

Full Changelog: v0.7.0...v0.7.1

v0.7.0

21 Jul 22:30
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What's Changed

  • [Fix]: prevent arima RuntimeWarnings in #136
  • [BREAKING CHANGE] Fitted Values Computation in #137
  • Now models return a dict instead a numpy array with mean and fitted values.

Full Changelog: v0.6.0...v0.7.0

v0.6.0

19 Jul 00:18
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What's Changed

  • [FEAT] Add ETS model and experiments in #142
  • [BREAKING CHANGE] Deprecate python3.6 in #146
  • [FEAT] Ray experiment ets in #145
  • [FEAT] Readme updates to include ets in #148

Full Changelog: v0.5.6...v0.6.0

v0.5.6

27 Jun 22:19
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What's Changed

  • [DOCS] Typo fixes by @ryanrussell in #117
  • [FEAT] Add fugue example by @goodwanghan in #111
  • [FEAT] add cross validation functionality by @FedericoGarza in #120
  • [FIX] #121 fitting autoarima on constant time series causes typeerror by @FedericoGarza in #122
  • [DOCS] add shagn as a contributor for bug by @allcontributors in #124
  • [FEAT] add integer ds compatibility for cross validation by @FedericoGarza in #123
  • [FEAT] Add n_windows argument for cross_validation method by @FedericoGarza in #131
  • [EXP] Add benchmarks at scale experiment by @FedericoGarza in #134

New Contributors

Full Changelog: v0.5.5...v0.5.6

v0.5.5

09 May 19:51
8b7d4f6
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What's Changed

  • ARIMA level/quantile compatibility, missing nbdev_flow, protected gif by @kdgutier in #102
  • Add dependency hint for quick intro by @guerda in #106
  • [FEAT] Add AutoARIMA adapter for Prophet by @FedericoGarza in #114

New Contributors

Full Changelog: v0.5.4...v0.5.5

v0.5.4

02 May 22:14
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What's Changed

  • feat: add issues template by @FedericoGarza in #93
  • refactor: use Pool instead of ProcessPoolExecutor by @FedericoGarza in #96
  • Feat: add ray integration by @FedericoGarza in #98
  • fix: add automatic n_jobs behavior by @FedericoGarza in #99
  • Creation of forecast dates improvement by @FedericoGarza in #101
  • Ray experiment by @FedericoGarza in #103
  • Update README.md by @mergenthaler in #104

Full Changelog: v0.5.3...v0.5.4

v0.5.3

12 Apr 19:05
e5d202e
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What's Changed

New features

  • summary method for the AutoARIMA class requested in #31.
  • representational string for the AutoARIMA fitted model, requested in #83.

Bug Fixes

  • [BUG] croston_sba #88 fixed in #89.