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Update dependency scikit-learn to v1.5.2 #606
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This PR contains the following updates:
==1.0.2
->==1.5.2
Release Notes
scikit-learn/scikit-learn (scikit-learn)
v1.5.2
: Scikit-learn 1.5.2Compare Source
We're happy to announce the 1.5.2 release.
This release contains fixes for a few regressions introduced in 1.5.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-2
You can upgrade with pip as usual:
The conda-forge builds can be installed using:
Thanks to everyone who contributed to this release !
v1.5.1
: Scikit-learn 1.5.1Compare Source
We're happy to announce the 1.5.1 release.
This release contains fixes for a few regressions introduced in 1.5.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1
You can upgrade with pip as usual:
The conda-forge builds can be installed using:
Thanks to everyone who contributed to this release !
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:
v1.4.1.post1
: Scikit-learn 1.4.1.post1Compare 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:
The conda-forge builds can be installed using:
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:
v1.3.0
: Scikit-learn 1.3.0Compare 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:
The conda-forge builds can be installed using:
v1.2.2
: Scikit-learn 1.2.2Compare 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:
The conda-forge builds will be available shortly, which you can then install using:
v1.2.1
: scikit-learn 1.2.1Compare 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:
The conda-forge builds will be available shortly, which you can then install using:
v1.2.0
: Scikit-learn 1.2.0Compare 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 1.1.3Compare 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:
The conda-forge builds will be available shortly, which you can then install using:
v1.1.2
: scikit-learn 1.1.2Compare 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:
The conda-forge builds will be available shortly, which you can then install using:
v1.1.1
: scikit-learn 1.1.1Compare 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:
The conda-forge builds will be available shortly, which you can then install using:
v1.1.0
: scikit-learn 1.1.0Compare 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.
Configuration
📅 Schedule: Branch creation - "before 11pm" (UTC), Automerge - At any time (no schedule defined).
🚦 Automerge: Enabled.
♻ 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.
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