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Bump mlxtend from 0.18.0 to 0.19.0

WKDV Bot requested to merge dependabot/pip/mlxtend-0.19.0 into develop

Bumps mlxtend from 0.18.0 to 0.19.0.

Release notes

Sourced from mlxtend's releases.

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)
  • Adds new scatter_hist function to mlxtend.plotting for generating a scattered histogram. (#757 via Maitreyee Mhasaka)
  • The evaluate.permutation_test function now accepts a paired argument to specify to support paired permutation/randomization tests. (#768)
  • The StackingCVRegressor now also supports multi-dimensional targets similar to StackingRegressor via StackingCVRegressor(..., multi_output=True). (#802 via Marco Tiraboschi)
Changes
  • Updates unit tests for scikit-learn 0.24.1 compatibility. (#774)
  • StackingRegressor now requires setting StackingRegressor(..., multi_output=True) if the target is multi-dimensional; this allows for better input validation. (#802)
  • Removes deprecated res argument from plot_decision_regions. (#803)
  • Adds a title_fontsize parameter to plot_learning_curves for controlling the title font size; also the plot style is now the matplotlib default. (#818)
  • Internal change using 'c': 'none' instead of 'c': '' in mlxtend.plotting.plot_decision_regions's scatterplot highlights to stay compatible with Matplotlib 3.4 and newer. (#822)
  • Adds a fontcolor_threshold parameter to the mlxtend.plotting.plot_confusion_matrix function as an additional option for determining the font color cut-off manually. (#827)
  • The frequent_patterns.association_rules now raises a ValueError if an empty frequent itemset DataFrame is passed. (#843)
  • The .632 and .632+ bootstrap method implemented in the mlxtend.evaluate.bootstrap_point632_score function now use the whole training set for the resubstitution weighting term instead of the internal training set that is a new bootstrap sample in each round. (#844)
Bug Fixes
Commits
  • 6585e23 Merge pull request #845 from rasbt/v0.19
  • f4bbdd7 0.19 release
  • e32aaf2 Merge pull request #844 from rasbt/bootstrap
  • e4e2b4d fix pr numbers and pep8
  • 689f16e use whole training set in .632 and .632+ bootstrap
  • bf17ad5 Merge pull request #843 from rasbt/assoc-rule-warning
  • 47f8ace pep8
  • 3e08855 raise error on emptry frequent itemset
  • 0a3eb5d Merge pull request #836 from joaozanlorensi/joaozanlorensi/fixDocsTypo
  • b417784 Add SBS typo fix to the CHANGELOG
  • Additional commits viewable in compare view

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