Sourced from scikit-learn's releases.
Scikit-learn 1.5.0
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
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
b51d0c9
trigger whell builder [cd build]919ae9b
MAINT Reoder what's new for 1.5 (#29039)0ac28ad
DOC Release highlights 1.5 (#29007)729b54d
test py3.12 against numpy 2 [cd build]1e50434
set versionffbe4ab
DOC remove obsolete SVM example (#27108)4647729
DOC Fix time complexity of MLP (#28592)9bd7047
FIX convergence criterion of MeanShift (#28951)b79420f
FIX add long long for int32/int64 windows compat in NumPy 2.0 (#29029)37f544d
DOC replace pandas with Polars in
examples/gaussian_process/plot_gpr_co2.py (...