Rakesh9100 / ML-Project-Drug-Review-Dataset

This is an innovative machine learning project that utilizes patient reviews with many other attributes to analyze and evaluate the effectiveness of drugs.
https://ml-project-drug-review-dataset.streamlit.app
Apache License 2.0
87 stars 117 forks source link

Bump scikit-learn from 1.5.0 to 1.5.1 #225

Closed dependabot[bot] closed 3 months ago

dependabot[bot] commented 3 months ago

Bumps scikit-learn from 1.5.0 to 1.5.1.

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.1

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Thanks to everyone who contributed to this release !

Commits
  • 70fdc84 Bump version [cd build]
  • b0ec847 DOC Add missing PR number in changelog entry (#29384)
  • 8179b8f DOC Set 1.5.1 release month (#29377)
  • 851c0d6 FIX: accuracy and zero_loss support for multilabel with Array API (#29336)
  • 99d8a32 FIX zero_one_loss breaks with multilabel and Array API (#29269)
  • 059070b ENH Add Array API compatibility to cosine_similarity (#29014)
  • ada571f Fix a regression in GridSearchCV for parameter grids that have arrays of diff...
  • fb26476 :lock: :robot: CI Update lock files for cirrus-arm CI build(s) :lock: :robot:...
  • 5a74cc0 Fix performance regression in ColumnTransformer (#29330)
  • c3d69b2 MAINT Pin the ruff version on CI linters (#29359)
  • Additional commits viewable in compare view


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