<div dir="ltr"><div class="gmail_default" style="font-size:small">Hi everyone,<br></div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">We're happy to announce the 1.0 release which you can install via pip or conda:<br><br>    pip install -U scikit-learn<br><br>or<br><br>    conda install -c conda-forge scikit-learn<br><br>You can read the release highlights under <a href="https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html">https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html</a> and the long list of the changes under <a href="https://scikit-learn.org/stable/whats_new/v1.0.html">https://scikit-learn.org/stable/whats_new/v1.0.html</a><br><br>New major features include: mandatory keyword arguments in many places, Spline Transformers, Quantile Regressor, Feature Names Support, a more flexible plotting API, Online One-Class SVM, and much more!<br><br>This version supports Python versions 3.7 to 3.9.<br><br>A big thanks to all contributors for making this release possible.<br><br>Regards,<br>Adrin,<br>On the behalf of the scikit-learn maintainer team.<br></div></div>