Version 0.9.1 (2017-11-19) Downloads Source code (zip) Source code (tar.gz) New Features Added mlxtend.evaluate.bootstrap_point632_score to evaluate the performance of estimators using the .632 bootstrap. (#283) New max_len parameter for the frequent itemset generation via the apriori function to allow for early stopping. (#270) Changes All feature index tuples in SequentialFeatureSelector or now in sorted order. (#262) The SequentialFeatureSelector now runs the continuation of the floating inclusion/exclusion as described in Novovicova & Kittler (1994). Note that this didn't cause any difference in performance on any of the test scenarios but could lead to better performance in certain edge cases. (#262) utils.Counter now accepts a ...
New Features New store_train_meta_features parameter for fit in StackingCVRegressor. if True, train...
Version 0.4.2 (2016-08-24) Downloads Source code (zip) Source code (tar.gz) PDF documentation ...
New Features StackingCVClassifier and StackingCVRegressor now support random_state parameter, which...
Version 0.5.0 Downloads Source code (zip) Source code (tar.gz) New Features New ExhaustiveFeature...
Downloads Source code (zip) Source code (tar.gz) New Features Added a mlxtend.evaluate.bootstrap ...
New Features The SequentialFeatureSelector now supports using pre-specified feature sets via the fi...
New Features Add predict_proba kwarg to bootstrap methods, to allow bootstrapping of scoring functi...
New Features Added a scatterplotmatrix function to the plotting module. (#437) Added sample_weight ...
Version 0.13.0 (07/20/2018) New Features A meaningful error message is now raised when a cross-vali...
Version 0.7.0 (2017-06-22) New Features New mlxtend.plotting.ecdf function for plotting empirical c...
Version 0.19.0 (09/02/2021) New Features Adds a second "balanced accuracy" interpretation ("balance...
Version 0.5.1 (2017-02-14) The CHANGELOG for the current development version is available at https:/...
New Features Added evaluate.permutation_test, a permutation test for hypothesis testing (or A/B tes...
New Features New function implementing the resampled paired t-test procedure (paired_ttest_resample...
Downloads Source code (zip) Source code (tar.gz) New Features A new feature_importance_permuation...
New Features New store_train_meta_features parameter for fit in StackingCVRegressor. if True, train...
Version 0.4.2 (2016-08-24) Downloads Source code (zip) Source code (tar.gz) PDF documentation ...
New Features StackingCVClassifier and StackingCVRegressor now support random_state parameter, which...
Version 0.5.0 Downloads Source code (zip) Source code (tar.gz) New Features New ExhaustiveFeature...
Downloads Source code (zip) Source code (tar.gz) New Features Added a mlxtend.evaluate.bootstrap ...
New Features The SequentialFeatureSelector now supports using pre-specified feature sets via the fi...
New Features Add predict_proba kwarg to bootstrap methods, to allow bootstrapping of scoring functi...
New Features Added a scatterplotmatrix function to the plotting module. (#437) Added sample_weight ...
Version 0.13.0 (07/20/2018) New Features A meaningful error message is now raised when a cross-vali...
Version 0.7.0 (2017-06-22) New Features New mlxtend.plotting.ecdf function for plotting empirical c...
Version 0.19.0 (09/02/2021) New Features Adds a second "balanced accuracy" interpretation ("balance...
Version 0.5.1 (2017-02-14) The CHANGELOG for the current development version is available at https:/...
New Features Added evaluate.permutation_test, a permutation test for hypothesis testing (or A/B tes...
New Features New function implementing the resampled paired t-test procedure (paired_ttest_resample...
Downloads Source code (zip) Source code (tar.gz) New Features A new feature_importance_permuation...
New Features New store_train_meta_features parameter for fit in StackingCVRegressor. if True, train...
Version 0.4.2 (2016-08-24) Downloads Source code (zip) Source code (tar.gz) PDF documentation ...
New Features StackingCVClassifier and StackingCVRegressor now support random_state parameter, which...