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Update scikit-learn requirement from >=1.5.0 to >=1.8.0#7

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Update scikit-learn requirement from >=1.5.0 to >=1.8.0#7
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@dependabot dependabot Bot commented on behalf of github May 6, 2026

Updates the requirements on scikit-learn to permit the latest version.

Release notes

Sourced from scikit-learn's releases.

Release 1.8.0

We're happy to announce the 1.8.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_8_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.8.html

This version supports Python versions 3.11 to 3.14 and features support of free-threaded CPython.

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
Commits
  • 646da0f [cd build]
  • 4f4f283 Generate changelog
  • 967dcde Set version
  • cb1424b DOC Release highlights for 1.8 (#32809)
  • 5645b27 🔒 🤖 CI Update lock files for main CI build(s) 🔒 🤖 (#32859)
  • 6b9fb11 🔒 🤖 CI Update lock files for free-threaded CI build(s) 🔒 :rob...
  • a0f6d88 🔒 🤖 CI Update lock files for array-api CI build(s) 🔒 🤖 ...
  • c1de8fc FIX Make get_namespace handle pandas dataframe input (#32838)
  • 764249a Fix _safe_indexing with non integer arrays on array API inputs (#32840)
  • eca5e0a FIX Add new default max_samples=None in Bagging estimators (#32825)
  • Additional commits viewable in compare view

Eugen Goebel and others added 16 commits March 26, 2026 21:07
- Add GitHub Actions workflow for automated testing on Python 3.10-3.12
- Add shields.io badges for Python version, test count, tech stack, and license
Moved scaling from preprocessor to model trainer so the scaler is fitted
only on training data and then applied to test data, preventing data leakage.
Define parameter grids for all candidate models (classification and
regression). Add _tune_candidates() method that runs GridSearchCV on
each model before the cross-validation comparison. Best parameters are
stored in TrainingResult for reporting.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Pass tune parameter from CLI to orchestrator to model trainer. Shows
tuning status in pipeline output.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
7 new tests: tuned classification/regression, best_params returned,
four models compared after tuning, best score matches, param grids
exist, default not tuned.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add hyperparameter tuning with GridSearchCV
Data analysis pipeline, model comparison, and evaluation results
captured with the bundled Customer Churn sample dataset.
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dependabot Bot commented on behalf of github May 6, 2026

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Please fix the above issues or remove invalid values from dependabot.yml.

- Pin pandas<3 and numpy<3 to avoid breaking-API surprises on hosted
  resolves where pip pulls the latest major
- Add openpyxl so Excel uploads (xlsx) work out of the box without
  relying on a transitive dep
- Reserve a live-demo placeholder in the README
@dependabot dependabot Bot force-pushed the dependabot/pip/scikit-learn-gte-1.8.0 branch from e395b3c to bbea5a4 Compare May 6, 2026 23:14
eugen-goebel and others added 2 commits May 7, 2026 01:14
Updates the requirements on [scikit-learn](https://github.com/scikit-learn/scikit-learn) to permit the latest version.
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.5.0...1.8.0)

---
updated-dependencies:
- dependency-name: scikit-learn
  dependency-version: 1.8.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot force-pushed the dependabot/pip/scikit-learn-gte-1.8.0 branch from bbea5a4 to e82e83e Compare May 6, 2026 23:15
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