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Merge branch 'main' into 1525-docs-in-the-plot_feature_importance-example-show-districts-where-the-prediction-is-bad
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CONTRIBUTING.rst

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Choosing an issue
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-----------------
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If you are starting to contribute to open-source, you can start by an [issue tagged `good first issue`](https://github.com/probabl-ai/skore/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22).
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If you are starting to contribute to open-source, you can start by an `issue tagged "good first issue" <https://github.com/probabl-ai/skore/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22>`_.
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The implementation of some issues are not very detailed. You can either propose a solution, or choose only the issues with a Status "Ready".
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Signing Commits
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---------------
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We recommend signing your commits to verify authorship. GitHub supports commit signing using **GPG**, **SSH**, or **S/MIME**. Signed commits are marked as "Verified" on GitHub, providing confidence in the origin of your changes.
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You have to sign your commits before submitting a pull request.
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For a pull request to be accepted, all the commits inside of it must be signed.
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For setup instructions and more details, please refer to [GitHub’s guide on signing commits](https://docs.github.com/en/authentication/managing-commit-signature-verification/signing-commits).
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GitHub supports commit signing using **GPG**, **SSH**, or **S/MIME**. Signed commits are marked as "Verified" on GitHub, providing confidence in the origin of your changes.
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For setup instructions and more details, please refer to `GitHub’s guide on signing commits <https://docs.github.com/en/authentication/managing-commit-signature-verification/signing-commits>`_.

skore/pyproject.toml

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"altair>=5,<6",
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"pillow",
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"plotly>=5,<6",
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"polars",
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"polars; platform_machine != 'x86_64'",
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"polars-lts-cpu; platform_machine == 'x86_64'",
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"pre-commit",
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"pytest",
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"pytest-cov",
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"kaleido",
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"numpydoc",
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"plotly>=5,<6",
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"polars",
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"polars; platform_machine != 'x86_64'",
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"polars-lts-cpu; platform_machine == 'x86_64'",
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"pydata-sphinx-theme",
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"scikit-learn<1.7",
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"seaborn",

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