Olivier Grisel
Andreas Mueller
Lars
Alexandre Gramfort
Gilles Louppe
Peter Prettenhofer
Mathieu Blondel
Vlad Niculae
Joel Nothman
Arnaud Joly
Jake Vanderplas
manoj kumar
Hanmin Qin
Thomas J Fan
Nelle Varoquaux
Robert Layton
Loïc Estève
Jan Hendrik Metzen
Nicolas Hug
Noel Dawe
Guillaume Lemaitre
Adrin Jalali
(Venkat) Raghav, Rajagopalan
Johannes Schönberger
Roman Yurchak
Wei Li
Clay Woolam
Kemal Eren
Tom Dupré la Tour
Eustache
2020-05-19
<p>We're happy to announce the 0.23.1 release which fixes a few issues affecting many users, namely: K-Means should be faster for small sample sizes, and the representation of third-party estimators was fixed.</p>
<p>You can check this version out using:</p>
<p> pip install -U scikit-learn</p>
<p>You can see the changelog here: <a href="https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-1">https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-1</a>
The conda-forge builds will be available shortly, which you can then install using:</p>
<p> conda install -c conda-forge scikit-learn</p>
https://doi.org/10.5281/zenodo.3834804
oai:zenodo.org:3834804
Zenodo
https://github.com/scikit-learn/scikit-learn/tree/0.23.1
https://doi.org/10.5281/zenodo.591564
info:eu-repo/semantics/openAccess
Other (Open)
scikit-learn/scikit-learn: scikit-learn 0.23.1
info:eu-repo/semantics/other