chore(deps): bump scikit-learn from 1.2.2 to 1.5.0 in /nemoguardrails/library/jailbreak_detection#934
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Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 1.2.2 to 1.5.0. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@1.2.2...1.5.0) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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@erickgalinkin does this upgrade look OK to you? |
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We're not using the vulnerable component in the container, but the model file for JailbreakDetect we're currently relying on requires 1.2.2. We can merge once we publish a version of the model weights that's compatible with the upgraded version. |
erickgalinkin
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Should not merge until we update the model weights for JailbreakDetect
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Thank you @erickgalinkin for clarification, I won't merge it until you approve 👍🏻 |
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This is subsumed by #1715 |
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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. |
Bumps scikit-learn from 1.2.2 to 1.5.0.
Release notes
Sourced from scikit-learn's releases.
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Commits
b51d0c9trigger whell builder [cd build]919ae9bMAINT Reoder what's new for 1.5 (#29039)0ac28adDOC Release highlights 1.5 (#29007)729b54dtest py3.12 against numpy 2 [cd build]1e50434set versionffbe4abDOC remove obsolete SVM example (#27108)4647729DOC Fix time complexity of MLP (#28592)9bd7047FIX convergence criterion of MeanShift (#28951)b79420fFIX add long long for int32/int64 windows compat in NumPy 2.0 (#29029)37f544dDOC replace pandas with Polars in examples/gaussian_process/plot_gpr_co2.py (...You can trigger a rebase of this PR by commenting
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