Bump shap from 0.43.0 to 0.45.0 #253
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Bumps [shap](https://github.com/shap/shap) from 0.43.0 to 0.45.0. - [Release notes](https://github.com/shap/shap/releases) - [Changelog](https://github.com/shap/shap/blob/master/docs/release_notes.rst) - [Commits](shap/shap@v0.43.0...v0.45.0) --- updated-dependencies: - dependency-name: shap dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <[email protected]>
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This should be considered when support for Python 3.8 is dropped (October 2024) |
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OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting If you change your mind, just re-open this PR and I'll resolve any conflicts on it. |
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Bumps shap from 0.43.0 to 0.45.0.
Release notes
Sourced from shap's releases.
... (truncated)
Commits
56394f1DOCS: Enable subset of pydocstyle rules, bulk update ruff fixes (#3550)503258bDOCS: Formatting and phrasing updates for SHAP return values (#3549)b230584reintroduce tests that were accidentally commented out (#3556)0aa4cf6MAINT: Add l1_reg argument to KernelExplainer call() (#3554)542a97crefactor deep explainer tests and relax allowed tolerance (#3555)e9fd303Update deprecation warnings for l1_reg="auto" and auto_size_plot=False (#3517)7a4afd7Fix force_plot contribution threshold for negative contributions (#3547)e1094a2MAINT: Bump ruff version, fix updated rule UP032 (f-strings) (#3552)ad6733eFix issue with KernelExplainer when explaining tensorflow models (#3542)ea3bfc8BREAKING: make shap explanations consistent for xgboost and lightgbm (#3318)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
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