rasbt/mlxtend: Version 0.10.0

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 Added requirements.txt to setup.py. (#304 via Colin Carrol) 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