Evalml

Latest version: v0.83.0

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0.83.0

Enhancements
- Added support for additional estimators for multiseries datasets 4385
Fixes
- Fixed bug in `_downcast_nullable_y` causing woodwork initialization issues 4369
- Fixed multiseries prediction interval labels 4377
Changes
- Pinned scipy version to under 1.12.0 4380
Documentation Changes
Testing Changes
Breaking Changes

0.82.0

Enhancements
* Changed target name/series ID divider and added ability to return series ID column with predictions 4357

Fixes

Changes
* Pinned networkx version below 3.2 for Python version compatibility 4351

Documentation Changes
* Added multiseries time series section to user guide in documentation 4355
* Updated release guide to include an FAQ section about fixing github actions 4346

Testing Changes

Breaking Changes

0.81.1

Enhancements
Fixes
* Fixed bug related to pypi release github action failing 4330
* Fixed bug related to conda build github action 4335 4337, 4338, 4340

Changes

Documentation changes

Testing changes
* Updated reviewers for latest dependency updates 4309

0.81.0

Enhancements
* Extended STLDecomposer to support multiseries 4253
* Extended TimeSeriesImputer to support multiseries 4291
* Added datacheck to check for mismatched series length in multiseries 4296
* Added STLDecomposer to multiseries pipelines 4299
* Extended DateTimeFormatCheck data check to support multiseries 4300
* Extended TimeSeriesRegularizer to support multiseries 4303

Fixes
* Fixed forecast period generation function for multiseries 4320
* Fixed bug in ``STLDecomposer.inverse_transform`` causing incorrect seasonality projections 4328

Changes
* Updated ``split_data`` to call ``split_multiseries_data`` when passed stacked multiseries data 4312
* Pinned pandas version under 2.1.0 4315
* Increased minimum numpy version 4321

Documentation Changes
* Removed LightGBM's excessive amount of warnings 4308

Testing Changes
* Removed old performance testing workflow 4318

0.80.0

Enhancements
* Added support for prediction intervals for VARMAX regressor 4267
* Integrated multiseries time series into AutoMLSearch 4270

Fixes
* Fixed error when stacking data with no exogenous variables 4275

Changes
* Updated ARIMARegressor to be compatible with sktime v0.22.0 and beyond 4283
* Updated graph_prediction_vs_actual_over_time() to be compatible with multiseries time series 4284
* Updated excluded_model_families to take in a list of both str and ModelFamily data types 4287
* Unpinned ipywidgets 4288

Documentation Changes
* Removed erroneous warnings from Data Checks User Guide page and removed tqdm warning in all notebooks 4274

0.79.0

Enhancements
* Updated regression metrics to handle multioutput dataframes as well as single output series 4233
* Added baseline regressor for multiseries time series problems 4246
* Added stacking and unstacking utility functions to work with multiseries data 4250
* Added multiseries regression pipeline class 4256
* Added multiseries VARMAX regressor 4238

Fixes
* Added support for pandas 2 4216
* Fixed bug where time series pipelines would fail due to MASE needing `y_train` when scoring 4258
* Update s3 bucket for docs image 4260
* Fix deps checker including any package with post in the name 4268

Changes
* Unpinned sktime version 4214
* Bumped minimum lightgbm version to 4.0.0 for nullable type handling 4237
* Pinned scikit-learn version due to incompatibility with pinned imbalanced-learn 4248

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