v0.56.1

v0.56.1 Aug. 19, 2022

Fixes

• IDColumnsDataCheck now only returns an action code to set the first column as the primary key if it contains unique values #3639
• Reverted the make_pipeline changes that conditionally included the imputers #3672

v0.56.0

v0.56.0 Aug. 16, 2022

Enhancements

• Add CI testing environment in Mac for install workflow #3646
• Updated make_pipeline to only include the Imputer in pipelines if NaNs exist in the data #3657
• Updated to run with Woodwork >= 0.17.2 #3626
• Add exclude_featurizers parameter to AutoMLSearch to specify featurizers that should be excluded from all pipelines #3631
• Add fit_transform method to pipelines and component graphs #3640
• Changed default value of data splitting for time series problem holdout set evaluation #3650

Fixes

• Reverted the Woodwork 0.17.x compatibility work due to performance regression #3664

Changes

• Disable holdout set in AutoML search by default #3659
• Pinned sktime at >=0.7.0,<0.13.1 due to slowdowns with time series modeling #3658
• Added additional testing support for Python 3.10 #3609

Documentation Changes

• Updated broken link checker to exclude stackoverflow domain #3633
• Add instructions to add new users to evalml-core-feedstock #3636

v0.55.0

v0.55.0 Jul. 28, 2022

Enhancements

• Increased the amount of logical type information passed to Woodwork when calling ww.init() in transformers #3604
• Added ability to log how long each batch and pipeline take in automl.search() #3577
• Added the option to set the sp parameter for ARIMA models #3597
• Updated the CV split size of time series problems to match forecast horizon for improved performance #3616

Fixes

• Fixed iterative graphs not appearing in documentation #3592
• Updated the load_diabetes() method to account for scikit-learn 1.1.1 changes to the dataset #3591
• Capped woodwork version at < 0.17.0 #3612
• Bump minimum scikit-optimize version to 0.9.0 `#3614

Changes

• Add pre-commit hooks for linting #3608
• Implemented a lower threshold and window size for the TimeSeriesRegularizer and DatetimeFormatDataCheck #3627

Documentation Changes

Testing Changes

• Pinned GraphViz version for Windows CI Test #3596
• Removed pytest.mark.skip_if_39 pytest marker #3602 #3607
• Refactored test cases that iterate over all components to use pytest.mark.parametrise and changed the corresponding if...continue blocks to pytest.mark.xfail #3622

v0.54.0

v0.54.0 Jun. 27, 2022

Fixes

• Updated the Imputer and SimpleImputer to work with scikit-learn 1.1.1. #3525
• Bumped the minimum versions of scikit-learn to 1.1.1 and imbalanced-learn to 0.9.1. #3525
• Added a clearer error message when describe is called on an un-instantiated ComponentGraph #3569
• Added a clearer error message when time series' predict is called with its X_train or y_train parameter set as None #3579

Changes

• Don't pass time_index as kwargs to sktime ARIMA implementation for compatibility with latest version #3564
• Remove incompatible nlp-primitives version 2.6.0 from accepted dependency versions #3572, #3574
• Updated evalml authors #3581

Documentation Changes

• Fix typo in long_description field in setup.cfg #3553
• Update install page to remove Python 3.7 mention #3567

v0.53.1

v0.53.1 Jun. 9, 2022

Enhancements

Fixes

Changes

• Set the development status to 4 - Beta in setup.cfg #3550

Documentation Changes

Testing Changes

v0.53.0

v0.53.0 Jun. 9, 2022

Enhancements

• Pass n_jobs to default algorithm #3548

Fixes

• Fixed github workflows for featuretools and woodwork to test their main branch against evalml. #3517
• Supress warnings in TargetEncoder raised by a coming change to default parameters #3540
• Fixed bug where schema was not being preserved in column renaming for XGBoost and LightGBM models #3496

Changes

• Transitioned to use pyproject.toml and setup.cfg away from setup.py #3494, #3536

Documentation Changes

• Updated the Time Series User Guide page to include known-in-advance features and fix typos #3521
• Add slack and stackoverflow icon to footer #3528
• Add install instructions for M1 Mac #3543

Testing Changes

• Rename yml to yaml for GitHub Actions #3522
• Remove noncore_dependency pytest marker #3541
• Changed test_smotenc_category_features to use valid postal code values in response to new woodwork type validation #3544

v0.52.0

v0.52.0 May. 12, 2022

Changes

• Added github workflows for featuretools and woodwork to test their main branch against evalml. #3504
• Added pmdarima to conda recipe. #3505
• Added a threshold for NullDataCheck before a warning is issued for null values #3507
• Changed NoVarianceDataCheck to only output warnings #3506
• Updated roc_curve() and conf_matrix() to work with IntegerNullable and BooleanNullable types. #3465
• Changed ComponentGraph._transform_features to raise a PipelineError instead of a ValueError. This is not a breaking change because PipelineError is a subclass of ValueError. #3497

Documentation Changes

• Updated to install prophet extras in Read the Docs. #3509

Testing Changes

• Moved vowpal wabbit in test recipe to evalml package from evalml-core #3502

v0.51.0

v0.51.0 Apr. 29, 2022

Enhancements

• Updated make_pipeline_from_data_check_output to work with time series problems. #3454

Fixes

• Changed PipelineBase.graph_json() to return a python dictionary and renamed as graph_dict()#3463

Changes

• Added vowpalwabbit to local recipe and remove is_using_conda pytest skip markers from relevant tests #3481

Documentation Changes

• Fixed broken link in contributing guide #3464
• Improved development instructions #3468
• Added the TimeSeriesRegularizer and TimeSeriesImputer to the timeseries section of the User Guide #3473
• Updated OSS slack link #3487

Testing Changes

• Updated unit tests to support woodwork 0.16.2 #3482
• Fix some unit tests after vowpal wabbit got added to conda recipe #3486

Breaking Changes

• Renamed PipelineBase.graph_json() to PipelineBase.graph_dict() #3463
• Minimum supported woodwork version is now 0.16.2 #3482

v0.50.0

v0.50.0 Apr. 13, 2022

Enhancements

• Added TimeSeriesImputer component #3374
• Replaced pipeline_parameters and custom_hyperparameters with search_parameters in AutoMLSearch #3373, #3427
• Added TimeSeriesRegularizer to smooth uninferrable date ranges for time series problems #3376
• Enabled ensembling as a parameter for DefaultAlgorithm #3435, #3444

Fixes

• Fix DefaultAlgorithm not handling Email and URL features #3419
• Added test to ensure LabelEncoder parameters preserved during AutoMLSearch #3326

Changes

• Updated DateTimeFormatDataCheck to use woodwork's infer_frequency function #3425
• Renamed graphs.py to visualizations.py #3439

Documentation Changes

• Updated the model understanding section of the user guide to include missing functions #3446
• Rearranged the user guide model understanding page for easier navigation #3457

Breaking Changes

• Renamed graphs.py to visualizations.py #3439
• Replaced pipeline_parameters and custom_hyperparameters with search_parameters in AutoMLSearch #3373

v0.49.0

Enhancements

• Added use_covariates parameter to ARIMARegressor #3407
• AutoMLSearch will set use_covariates to False for ARIMA when dataset is large #3407
• Add ability to retrieve logical types to a component in the graph via get_component_input_logical_types #3428
• Add ability to get logical types passed to the last component via last_component_input_logical_types #3428

Fixes

• Fix conda build after PR 3407 #3429

Changes

• Moved model understanding metrics from graph.py into a separate file #3417
• Unpin click dependency #3420
• For IterativeAlgorithm, put time series algorithms first #3407
• Use prophet-prebuilt to install prophet in extras #3407

Breaking Changes

• Moved model understanding metrics from graph.py to metrics.py #3417