This repository has been archived by the owner on Oct 8, 2024. It is now read-only.
chore(deps): update dependency scikit-learn to v1.5.0 [security] #937
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR contains the following updates:
1.3.0
->1.5.0
GitHub Vulnerability Alerts
CVE-2024-5206
A sensitive data leakage vulnerability was identified in scikit-learn's TfidfVectorizer, specifically in versions up to and including 1.4.1.post1, which was fixed in version 1.5.0. The vulnerability arises from the unexpected storage of all tokens present in the training data within the
stop_words_
attribute, rather than only storing the subset of tokens required for the TF-IDF technique to function. This behavior leads to the potential leakage of sensitive information, as thestop_words_
attribute could contain tokens that were meant to be discarded and not stored, such as passwords or keys. The impact of this vulnerability varies based on the nature of the data being processed by the vectorizer.Release Notes
scikit-learn/scikit-learn (scikit-learn)
v1.5.0
: Scikit-learn 1.5.0Compare Source
We're happy to announce the 1.5.0 release.
You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_1\_5\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.5.html
This version supports Python versions 3.9 to 3.12.
You can upgrade with pip as usual:
The conda-forge builds can be installed using:
v1.4.2
: Scikit-learn 1.4.2Compare Source
We're happy to announce the 1.4.2 release.
This release only includes support for numpy 2.
This version supports Python versions 3.9 to 3.12.
You can upgrade with pip as usual:
v1.4.0
Compare Source
v1.3.2
: Scikit-learn 1.3.2Compare Source
We're happy to announce the 1.3.2 release.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.3.html#version-1-3-2
This version supports Python versions 3.8 to 3.12.
You can upgrade with pip as usual:
The conda-forge builds can be installed using:
v1.3.1
: Scikit-learn 1.3.1Compare Source
We're happy to announce the 1.3.1 release.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.3.html#version-1-3-1
This version supports Python versions 3.8 to 3.12.
You can upgrade with pip as usual:
The conda-forge builds can be installed using:
Configuration
📅 Schedule: Branch creation - "" (UTC), Automerge - At any time (no schedule defined).
🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR is behind base branch, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
This PR was generated by Mend Renovate. View the repository job log.