v0.7.0

v0.7.0 Mar. 9, 2020

Enhancements

• Added emacs buffers to .gitignore #350
• Add CatBoost (gradient-boosted trees) classification and regression components and pipelines #247
• Added Tuner abstract base class #351
• Added n_jobs as parameter for AutoClassificationSearch and AutoRegressionSearch #403
• Changed colors of confusion matrix to shades of blue and updated axis order to match scikit-learn's #426
• Added PipelineBase graph and feature_importance_graph methods, moved from previous location #423
• Added support for python 3.8 #462

Fixes

• Fixed ROC and confusion matrix plots not being calculated if user passed own additional_objectives #276
• Fixed ReadtheDocs FileNotFoundError exception for fraud dataset #439

Changes

• Added n_estimators as a tunable parameter for XGBoost #307
• Remove unused parameter ObjectiveBase.fit_needs_proba #320
• Remove extraneous parameter component_type from all components #361
• Remove unused rankings.csv file #397
• Downloaded demo and test datasets so unit tests can run offline #408
• Remove _needs_fitting attribute from Components #398
• Changed plot.feature_importance to show only non-zero feature importances by default, added optional parameter to show all #413
• Dropped support for Python 3.5 #438
• Removed unused apply.py file #449
• Clean up requirements.txt to remove unused deps #451

Documentation Changes

• Update release.md with instructions to release to internal license key #354

Testing Changes

• Added tests for utils (and moved current utils to gen_utils) #297
• Moved XGBoost install into it's own separate step on Windows using Conda #313
• Rewind pandas version to before 1.0.0, to diagnose test failures for that version #325
• Added dependency update checkin test #324
• Rewind XGBoost version to before 1.0.0 to diagnose test failures for that version #402
• Update dependency check to use a whitelist #417
• Update unit test jobs to not install dev deps #455

Breaking Changes

• Python 3.5 will not be actively supported.