Release v0.17.0

[dsherry]

v0.17.0 Dec. 29, 2020

Enhancements

• Added save_plot that allows for saving figures from different backends Add save_plot to save graphs to file #1588
• Added LightGBM Regressor to regression components Add LightGBM Regressor #1459
• Added visualize_decision_tree for tree visualization with decision_tree_data_from_estimator and decision_tree_data_from_pipeline to reformat tree structure output 1239 visualize decision trees #1511
• Added DFS Transformer component into transformer components Add Featuretools Component #1454
• Added MAPE to the standard metrics for time series problems and update objectives 1463 mean absolute percentage error #1510
• Added graph_prediction_vs_actual_over_time and get_prediction_vs_actual_over_time_data to the model understanding module for time series problems Plot for time series regression #1483
• Added a ComponentGraph class that will support future pipelines as directed acyclic graphs Add ComponentGraph class #1415
• Updated data checks to accept Woodwork data structures Update data checks to accept Woodwork data structures #1481
• Added parameter to InvalidTargetDataCheck to show only top unique values rather than all unique values Added parameter to InvalidTargetDataCheck to show only top unique values rather than all unique values #1485
• Added multicollinearity data check Add multicollinearity data check #1515
• Added baseline pipeline and components for time series regression problems Add Time Series Baseline Regression Components and Pipelines #1496
• Added more information to users about ensembling behavior in AutoMLSearch Provide more information to users about ensembling behavior #1527
• Add woodwork support for more utility and graph methods Clean up and add woodwork support for more methods #1544
• Changed DateTimeFeaturizer to encode features as int DateTimeFeaturizer encodes features as ints #1479
• Return trained pipelines from AutoMLSearch.best_pipeline Return trained pipeline for AutoMLSearch.best_pipeline #1547
• Added utility method so that users can set feature types without having to learn about Woodwork directly Allow users to set feature types without having to learn about woodwork directly #1555
• Added Linear Discriminant Analysis transformer for dimensionality reduction Add Linear Discriminant Analysis component #1331
• Added multiclass support for partial_dependence and graph_partial_dependence Partial dependence for multiclass #1554
• Added TimeSeriesBinaryClassificationPipeline and TimeSeriesMulticlassClassificationPipeline classes Classification Pipelines for Time Series #1528
• Added make_data_splitter method for easier automl data split customization Make it easy to customize automl search data splitter #1568
• Integrated ComponentGraph class into Pipelines for full non-linear pipeline support Integrate ComponentGraphs into Pipelines #1543
• Update AutoMLSearch constructor to take training data instead of search and add_to_leaderboard AutoMLSearch: hold reference to training data #1597
• Update split_data helper args AutoMLSearch: hold reference to training data #1597
• Add problem type utils is_regression, is_classification, is_timeseries AutoMLSearch: hold reference to training data #1597
• Rename AutoMLSearch data_split arg to data_splitter AutoMLSearch: rename "data_split" to "data_splitter" #1569

Fixes

• Fix Windows CI jobs: install numba via conda, required for shap Fix windows unit test CI #1490
• Added custom-index support for reset-index-get_prediction_vs_actual_over_time_data Fix custom index bug in get_prediction_vs_actual_over_time_data #1494
• Fix generate_pipeline_code to account for boolean and None differences between Python and JSON Codegen support for bool #1524 Move JSON check to CodeGen rather than as helper function #1531
• Set max value for plotly and xgboost versions while we debug CI failures with newer versions Set max value for plotly and xgboost versions #1532
• Undo version pinning for plotly Fix dependency issue [Plotly and XGBoost] #1533
• Fix ReadTheDocs build by updating the version of setuptools Fix readthedocs build #1561
• Set random_state of data splitter in AutoMLSearch to take int to keep consistency in the resulting splits Set random_state arg in Data Splitter #1579
• Pin sklearn version while we work on adding support Pin sklearn version #1594
• Pin pandas at <1.2.0 while we work on adding support Omit latest Pandas version #1609
• Pin graphviz at < 0.16 while we work on adding support Omit latest Pandas version #1609

Changes

• Reverting save_graph 1535 save graphs to file #1550 to resolve kaleido build issues Revert "1535 save graphs to file" #1585
• Update circleci badge to apply to main Have circleci badge filtered to main branch, not latest build #1489
• Added script to generate github markdown for releases Add script to generate github markdown for release notes #1487
• Updated dependencies to fix ImportError: cannot import name 'MaskedArray' from 'sklearn.utils.fixes' error and to address Woodwork and Featuretool dependencies Update dependencies to fix ImportError: cannot import name 'MaskedArray' from 'sklearn.utils.fixes' errors #1540
• Made get_prediction_vs_actual_data() a public method Make get_prediction_vs_actual_data() a public method #1553
• Updated Woodwork version requirement to v0.0.7 Update Woodwork to 0.0.7 #1560
• Move data splitters from evalml.automl.data_splitters to evalml.preprocessing.data_splitters AutoMLSearch: hold reference to training data #1597
• Rename "# Testing" in automl log output to "# Validation" AutoMLSearch: hold reference to training data #1597

Documentation Changes

• Added partial dependence methods to API reference Add partial dependence to API reference #1537
• Updated documentation for confusion matrix methods Update docs for confusion matrix methods #1611

Testing Changes

• Set n_jobs=1 in most unit tests to reduce memory Reduce Unit Test Memory #1505

Breaking Changes

• Updated minimal dependencies: numpy>=1.19.1, pandas>=1.1.0, scikit-learn>=0.23.1, scikit-optimize>=0.8.1
• Updated AutoMLSearch.best_pipeline to return a trained pipeline. Pass in train_best_pipeline=False to AutoMLSearch in order to return an untrained pipeline.
• Pipeline component instances can no longer be iterated through using Pipeline.component_graph Integrate ComponentGraphs into Pipelines #1543
• Update AutoMLSearch constructor to take training data instead of search and add_to_leaderboard AutoMLSearch: hold reference to training data #1597
• Update split_data helper args AutoMLSearch: hold reference to training data #1597
• Move data splitters from evalml.automl.data_splitters to evalml.preprocessing.data_splitters AutoMLSearch: hold reference to training data #1597
• Rename AutoMLSearch data_split arg to data_splitter AutoMLSearch: rename "data_split" to "data_splitter" #1569

[angela97lin]

🚢 !!

[bchen1116]

🎇

[angela97lin]

Wow, so many things happened this month!!

[codecov]

Codecov Report

Merging #1623 (0201458) into main (3536f3c) will not change coverage.
The diff coverage is 100.0%.

@@           Coverage Diff           @@
##             main    #1623   +/-   ##
=======================================
  Coverage   100.0%   100.0%           
=======================================
  Files         240      240           
  Lines       18160    18160           
=======================================
  Hits        18152    18152           
  Misses          8        8           

Impacted Files	Coverage Δ
evalml/__init__.py	100.0% <100.0%> (ø)

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 3536f3c...0201458. Read the comment docs.

[dsherry]

Perf test results here