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Version 0.10.0
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@rasbt rasbt released this 22 Dec 18:25
· 978 commits to master since this release
v0.10.0
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New Features
  • New store_train_meta_features parameter for fit in StackingCVRegressor. if True, train meta-features are stored in self.train_meta_features_.
    New pred_meta_features method for StackingCVRegressor. People can get test meta-features using this method. (#294 via takashioya)
  • The new store_train_meta_features attribute and pred_meta_features method for the StackingCVRegressor were also added to the StackingRegressor, StackingClassifier, and StackingCVClassifier (#299 & #300)
  • New function (evaluate.mcnemar_tables) for creating multiple 2x2 contigency from model predictions arrays that can be used in multiple McNemar (post-hoc) tests or Cochran's Q or F tests, etc. (#307)
  • New function (evaluate.cochrans_q) for performing Cochran's Q test to compare the accuracy of multiple classifiers. (#310)
Changes
Bug Fixes
  • Improved numerical stability for p-values computed via the the exact McNemar test (#306)
  • nose is not required to use the library (#302)
Assets 2
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