Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

chore(deps): bump mlxtend from 0.18.0 to 0.19.0 #96

Merged
merged 1 commit into from
Nov 9, 2021

Conversation

dependabot[bot]
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Sep 6, 2021

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

Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Bumps [mlxtend](https://github.com/rasbt/mlxtend) from 0.18.0 to 0.19.0.
- [Release notes](https://github.com/rasbt/mlxtend/releases)
- [Commits](rasbt/mlxtend@0.18.0...v0.19.0)

---
updated-dependencies:
- dependency-name: mlxtend
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Sep 6, 2021
@dermatologist dermatologist merged commit e2beee8 into develop Nov 9, 2021
@dermatologist dermatologist deleted the dependabot/pip/mlxtend-0.19.0 branch November 9, 2021 11:47
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
dependencies Pull requests that update a dependency file python Pull requests that update Python code
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

1 participant