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@rjacobs914 rjacobs914 released this 11 Jul 18:48
· 184 commits to master since this release
v3.1.1
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Learn about vigilant mode.

Changes since v3.0.3:

Refinement of tutorials, addition of Tutorial 7, Colab links as badges added for easier use.

mastml_predictor module added to help streamline making predictions (with option to include error bars) on new test data.

Basic parallelization added, which is especially useful for speeding up nested CV runs with many inner splits.

EnsembleModel now handles ensembles of GPR and XGBoost models.

Numerous improvements to plotting, including new plots (QQ plot), better axis handling and error bars (RvE plot), plotting and stats separated per group if groups are specified.

Improvements to feature selection methods. EnsembleModelFeatureSelector includes dummy feature references, added SHAP-based selector

Added assessment of baseline tests like comparing metrics to predicting the data average or permuted data test

Many miscellaneous bug fixes.

Assets 4