Release v0.13.2

[freddyaboulton]

v0.13.2 Sep. 17, 2020

Enhancements

• Added output_format field to explain predictions functions Add Dictionary Output Format for Explain Predictions  #1107
• Modified get_objective and get_objectives to be able to return any objective in evalml.objectives Allowing get_objective to be able to get any objective. #1132
• Added a return_instance boolean parameter to get_objective Allowing get_objective to be able to get any objective. #1132
• Added ClassImbalanceDataCheck to determine whether target imbalance falls below a given threshold creating class imbalance data checker #1135
• Added label encoder to lightGBM for binary classification Add Label Encoder to LightGBM  #1152
• Added labels for the row index of confusion matrix Added labels for the row index of confusion matrix #1154
• Added AutoMLSearch object as another parameter in search callbacks Added AutoMLSearch object as another parameter in search callbacks #1156
• Added the corresponding probability threshold for each point displayed in graph_roc_curve Adding the threshold to the ROC curve hovertext #1161
• Added __eq__ for ComponentBase and PipelineBase Add __eq__ for ComponentBase+PipelineBase #1178
• Added support for multiclass classification for roc_curve Added support for multiclass classification to roc_curve #1164
• Added categories accessor to OneHotEncoder for listing the categories associated with a feature OneHotEncoder: expose categories detected for each feature during fit #1182
• Added utility function to create pipeline instances from a list of component instances Added utility function to create pipeline instance from a list of component instances #1176

Fixes

• Fixed XGBoost column names for partial dependence methods Fix XGBoost column names for partial dependence #1104
• Removed dead code validating column type from TextFeaturizer TextFeaturizer test coverage update #1122
• Fixed issue where Imputer cannot fit when there is None in a categorical or boolean column Fixes issue where Imputer cannot fit when there is None in a categorical or boolean column #1144
• OneHotEncoder preserves the custom index in the input data OneHotEncoder Preserves Custom Index #1146
• Fixed representation for ModelFamily Fix Model Family repr #1165
• Removed duplicate nbsphinx dependency in dev-requirements.txt Remove duplicate nbsphinx dependency in dev-requirements.txt #1168
• Users can now pass in any valid kwargs to all estimators Users can now pass in all valid kwargs to Estimators #1157
• Remove broken accessor OneHotEncoder.get_feature_names and unneeded base class Remove CategoricalEncoder base class and get_feature_names function #1179
• Removed LightGBM Estimator from AutoML models remove lightgbm from automl #1186

Changes

• Pinned scikit-optimize version to 0.7.4 Pin scikit-optimize to version 0.7.4 #1136
• Removed tqdm as a dependency Removing tqdm as a dependency #1177
• Added lightgbm version 3.0.0 to latest_dependency_versions.txt Adding lightgbm to latest_dependency_versions.txt. #1185

Documentation Changes

• Fixed API docs for AutoMLSearch add_result_callback Update API docs for add_result_callback #1113
• Added a step to our release process for pushing our latest version to conda-forge Adding step for how to publish latest package to conda-forge. #1118
• Added warning for missing ipywidgets dependency for using PipelineSearchPlots on Jupyterlab add documentation for plotly jupyterlab #1145
• Updated README.md example to load demo dataset Updated README example to load demo dataset #1151
• Swapped mapping of breast cancer targets in model_understanding.ipynb Swap mapping of breast cancer targets for model_understanding.ipynb #1170

Testing Changes

• Added test confirming TextFeaturizer never outputs null values TextFeaturizer test coverage update #1122
• Changed Python version of Update Dependencies action to 3.8.x Add wildcard for python ver in dependency check action  #1137
• Fixed release notes check-in test for Update Dependencies actions Fix release notes check for dependency updates PR #1172

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[codecov]

Codecov Report

Merging #1192 into main will increase coverage by 8.71%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##             main    #1192      +/-   ##
==========================================
+ Coverage   91.20%   99.92%   +8.71%     
==========================================
  Files         196      196              
  Lines       11977    11977              
==========================================
+ Hits        10924    11968    +1044     
+ Misses       1053        9    -1044     

Impacted Files	Coverage Δ
evalml/__init__.py	100.00% <100.00%> (ø)
evalml/automl/automl_search.py	99.58% <0.00%> (+0.41%)	⬆️
evalml/tests/component_tests/test_components.py	100.00% <0.00%> (+0.51%)	⬆️
...s/prediction_explanations_tests/test_algorithms.py	100.00% <0.00%> (+1.11%)	⬆️
evalml/tests/component_tests/test_utils.py	100.00% <0.00%> (+3.57%)	⬆️
evalml/tests/pipeline_tests/test_pipelines.py	100.00% <0.00%> (+4.17%)	⬆️
...derstanding/prediction_explanations/_algorithms.py	97.14% <0.00%> (+4.28%)	⬆️
evalml/utils/gen_utils.py	99.02% <0.00%> (+5.82%)	⬆️
evalml/tests/utils_tests/test_dependencies.py	100.00% <0.00%> (+6.25%)	⬆️
evalml/pipelines/pipeline_base.py	100.00% <0.00%> (+6.32%)	⬆️
... and 17 more

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[dsherry]

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