Update dependency scikit-learn to v1 [SECURITY]

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
scikit-learn (source, changelog)	==0.23.2 -> ==1.5.0

---

Warning

Some dependencies could not be looked up. Check the Dependency Dashboard for more information.

GitHub Vulnerability Alerts

CVE-2020-28975

svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array.
NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute.

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 the stop_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 1.5.0

Compare 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:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

v1.4.2: Scikit-learn 1.4.2

Compare 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:

pip install -U scikit-learn

v1.4.1.post1: Scikit-learn 1.4.1.post1

Compare Source

We're happy to announce the 1.4.1.post1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1

This version supports Python versions 3.9 to 3.12.

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

v1.4.0

Compare Source

v1.3.2: Scikit-learn 1.3.2

Compare 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:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

v1.3.1: Scikit-learn 1.3.1

Compare 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:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

v1.3.0: Scikit-learn 1.3.0

Compare Source

We're happy to announce the 1.3.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_1\_3\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.3.html

This version supports Python versions 3.8 to 3.11.

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

v1.2.2: Scikit-learn 1.2.2

Compare Source

We're happy to announce the 1.2.2 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.2.html#version-1-2-2

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v1.2.1: scikit-learn 1.2.1

Compare Source

We're happy to announce the 1.2.1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.2.html#version-1-2-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v1.2.0: Scikit-learn 1.2.0

Compare Source

We're happy to announce the 1.2.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_1\_2\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.2.html

This version supports Python versions 3.8 to 3.11.

v1.1.3: scikit-learn 1.1.3

Compare Source

We're happy to announce the 1.1.3 release.

This bugfix release only includes fixes for compatibility with the latest SciPy release >= 1.9.2 and wheels for Python 3.11. Note that support for 32-bit Python on Windows has been dropped in this release. This is due to the fact that SciPy 1.9.2 also dropped the support for that platform. Windows users are advised to install the 64-bit version of Python instead.

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-3

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v1.1.2: scikit-learn 1.1.2

Compare Source

We're happy to announce the 1.1.2 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-2

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v1.1.1: scikit-learn 1.1.1

Compare Source

We're happy to announce the 1.1.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v1.1.0: scikit-learn 1.1.0

Compare Source

We're happy to announce the 1.1.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_1\_1\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.1.html#changes-1-1

This version supports Python versions 3.8 to 3.10.

v1.0.2: scikit-learn 1.0.2

Compare Source

We're happy to announce the 1.0.2 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.0.html#version-1-0-2

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v1.0.1: scikit-learn 1.0.1

Compare Source

We're happy to announce the 1.0.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.0.html#version-1-0-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v1.0: scikit-learn 1.0

Compare Source

We're happy to announce the 1.0 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_1\_0\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.0.html#changes-1-0

This version supports Python versions 3.7 to 3.9.

v0.24.2: scikit-learn 0.24.2

Compare Source

We're happy to announce the 0.24.2 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-2

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v0.24.1: scikit-learn 0.24.1

Compare Source

We're happy to announce the 0.24.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds will be available shortly, which you can then install using:

conda install -c conda-forge scikit-learn

v0.24.0: scikit-learn 0.24.0

Compare Source

We're happy to announce the 0.24 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights\_0\_24\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-0

This version supports Python versions 3.6 to 3.9.

---

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 becomes conflicted, or you tick the rebase/retry checkbox.

🔕 Ignore: Close this PR and you won't be reminded about this update again.

---

• If you want to rebase/retry this PR, check this box

---

This PR was generated by Mend Renovate. View the repository job log.