chore(deps): bump mlxtend from 0.18.0 to 0.21.0

[dependabot]

Bumps mlxtend from 0.18.0 to 0.21.0.

Release notes

Sourced from mlxtend's releases.

Version 0.21.0

New Features and Enhancements

• The mlxtend.evaluate.feature_importance_permutation function has a new feature_groups argument to treat user-specified feature groups as single features, which is useful for one-hot encoded features. (#955)
• The mlxtend.feature_selection.ExhaustiveFeatureSelector and SequentialFeatureSelector also gained support for feature_groups with a behavior similar to the one described above. (#957 and #965 via Nima Sarajpoor)

Changes

• The custom_feature_names parameter was removed from the ExhaustiveFeatureSelector due to redundancy and to simplify the code base. The ExhaustiveFeatureSelector documentation illustrates how the same behavior and outcome can be achieved using pandas DataFrames. (#957)

Bug Fixes

• None

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)

Version 0.19.0 (09/02/2021)

New Features

• Adds a second "balanced accuracy" interpretation ("balanced") to evaluate.accuracy_score in addition to the existing "average" option to compute the scikit-learn-style balanced accuracy. (#764)

... (truncated)

Commits

• 1943512 Merge pull request #972 from rasbt/0.21.0
• 6cadd40 0.21.0 releas
• 1f46260 Merge pull request #965 from NimaSarajpoor/feature_groups_FS
• 89f9ba3 add keyboardinterrupt notes
• 4b86cbd Change decimal precision from 3 to 2
• d7253e0 Change test function
• b445050 Change actual value in test function
• 9cdbd3b Correct actual value
• d45e71d Modify k_feature
• 634b93b upate unit tests
• Additional commits viewable in compare view

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