Version 0.20.0

New Features and Enhancements

Downloads

• Source code (zip)

• Source code (tar.gz)

New Features and Enhancements

• The mlxtend.evaluate.bootstrap_point632_score now supports fit_params. (#861)
• The mlxtend/plotting/decision_regions.py function now has a contourf_kwargs for matplotlib to change the look of the decision boundaries if desired. (#881 via [pbloem])
• Add a norm_colormap parameter to mlxtend.plotting.plot_confusion_matrix, to allow normalizing the colormap, e.g., using matplotlib.colors.LogNorm() (#895)
• Add new GroupTimeSeriesSplit class for evaluation in time series tasks with support of custom groups and additional parameters in comparison with scikit-learn's TimeSeriesSplit. (#915 via Dmitry Labazkin)

Changes

• Due to compatibility issues with newer package versions, certain functions from six.py have been removed so that mlxtend may not work anymore with Python 2.7.
• As an internal change to speed up unit testing, unit testing is now faciliated by GitHub workflows, and Travis CI and Appveyor hooks have been removed.
• Improved axis label rotation in mlxtend.plotting.heatmap and mlxtend.plotting.plot_confusion_matrix (#872)
• Fix various typos in McNemar guides.
• Raises a warning if non-bool arrays are used in the frequent pattern functions apriori, fpmax, and fpgrowth. (#934 via NimaSarajpoor)

Bug Fixes

• Fix unreadable labels in heatmap for certain colormaps. (#852)
• Fix an issue in mlxtend.plotting.plot_confusion_matrix when string class names are passed (#894)