chore(deps): update requirements to v1.4.2
This PR contains the following updates:
| Package | Change | Age | Adoption | Passing | Confidence |
|---|---|---|---|---|---|
| scikit-learn (source) | ==1.2.1 -> ==1.4.2 |
||||
| scikit-learn (source) | ==1.1.3 -> ==1.4.2 |
Release Notes
scikit-learn/scikit-learn (scikit-learn)
v1.4.2: Scikit-learn 1.4.2
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
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
v1.3.2: Scikit-learn 1.3.2
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
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
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
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
Configuration
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Codecov Report
Patch and project coverage have no change.
Comparison is base (
6c78b08) 86.66% compared to head (4d9acfe) 86.66%.
Additional details and impacted files
@@ Coverage Diff @@
## main #133 +/- ##
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Coverage 86.66% 86.66%
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Files 42 42
Lines 1155 1155
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Hits 1001 1001
Misses 154 154
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