Initial.

[chukarsten]

v0.24.0 May. 4, 2021

Enhancements

• Added date_index as a required parameter for TimeSeries problems 2070 user specified date feature #2217
• Have the OneHotEncoder return the transformed columns as booleans rather than floats Have OHE return Boolean columns #2170
• Added Oversampler transformer component to EvalML Add Oversampler components to EvalML #2079
• Added Undersampler to AutoMLSearch, as well as arguments _sampler_method and sampler_balanced_ratio Add Undersampler Component to AutoMLSearch #2128
• Updated prediction explanations functions to allow pipelines with XGBoost estimators Compute Shap Values for XGBoost #2162
• Added partial dependence for datetime columns Add partial dependence for datetime columns #2180
• Update precision-recall curve with positive label index argument, and fix for 2d predicted probabilities Allow precision-recall to handle 2d predicted probabilities; docs updates #2090
• Add pct_null_rows to HighlyNullDataCheck Add pct_null_rows to HighlyNullDataCheck #2211
• Added a standalone AutoML search method for convenience, which runs data checks and then runs automl Add top-level search method #2152
• Make the first batch of AutoML have a predefined order, with linear models first and complex models last Sort first batch of automl #2223

Fixes

• Fixed partial dependence not respecting grid resolution parameter for numerical features Add partial dependence for datetime columns #2180
• Enable prediction explanations for catboost for multiclass problems Prediction explanations: multiclass catboost support #2224

Changes

• Deleted baseline pipeline classes Delete baseline pipeline classes #2202
• Reverting user specified date feature PR User Specified Date Feature #2155 until pmdarima installation fix is found Revert "User Specified Date Feature" #2214
• Updated pipeline API to accept component graph and other class attributes as instance parameters. Old pipeline API still works but will not be supported long-term. Update pipeline API to accept component graph and other class attributes as parameters #2091
• Removed all old datasplitters from EvalML Remove the old datasplitters from EvalML #2193
• Deleted make_pipeline_from_components Delete make_pipeline_from_components #2218

Documentation Changes

• Renamed dataset to clarify that its gzipped but not a tarball Demo data: rename gzip file #2183
• Updated documentation to use pipeline instances instead of pipeline subclasses Update pipeline docs after API change #2195
• Updated contributing guide with a note about GitHub Actions permissions Allow precision-recall to handle 2d predicted probabilities; docs updates #2090
• Updated automl and model understanding user guides Allow precision-recall to handle 2d predicted probabilities; docs updates #2090

Testing Changes

• Use machineFL user token for dependency update bot, and add more reviewers Use machineFL user token for dependency update bot.  #2189

Breaking Changes

• All baseline pipeline classes (BaselineBinaryPipeline, BaselineMulticlassPipeline, BaselineRegressionPipeline, etc.) have been deleted Delete baseline pipeline classes #2202
• Updated pipeline API to accept component graph and other class attributes as instance parameters. Old pipeline API still works but will not be supported long-term. Pipelines can now be initialized by specifying the component graph as the first parameter, and then passing in optional arguments such as custom_name, parameters, etc. For example, BinaryClassificationPipeline(["Random Forest Classifier"], parameters={}). Update pipeline API to accept component graph and other class attributes as parameters #2091
• Removed all old datasplitters from EvalML Remove the old datasplitters from EvalML #2193
• Deleted utility method make_pipeline_from_components Delete make_pipeline_from_components #2218