Thank you all and congratulations indeed. Because this release comes soon after the latest one from the 0.20 series, we might have thought that it would be a light one. But no! Plenty of exciting features!
Gaël On Wed, May 01, 2019 at 10:13:02PM -0400, Andreas Mueller wrote: > Thank you for all the amazing work y'all! > On 4/30/19 10:09 PM, Joel Nothman wrote: > PyPI now has source and binary releases for Scikit-learn 0.21rc2. > * Documentation at https://scikit-learn.org/0.21 > * Release Notes at https://scikit-learn.org/0.21/whats_new > * Download source or wheels at https://pypi.org/project/scikit-learn/ > 0.21rc2/ > Please try out the software and help us edit the release notes before a > final release. > Highlights include: > * neighbors.NeighborhoodComponentsAnalysis for supervised metric learning, > which learns a weighted euclidean distance for k-nearest neighbors. > https:/ > /scikit-learn.org/0.21/modules/neighbors.html#nca > * ensemble.HistGradientBoostingClassifier > and ensemble.HistGradientBoostingRegressor: experimental implementations > of > efficient binned gradient boosting machines. > https://scikit-learn.org/0.21/ > modules/ensemble.html#gradient-tree-boosting > * impute.IterativeImputer: a non-trivial approach to missing value > imputation. https://scikit-learn.org/0.21/modules/impute.html# > multivariate-feature-imputation > * cluster.OPTICS: a new density-based clustering algorithm. https:// > scikit-learn.org/0.21/modules/clustering.html#optics > * better printing of estimators as strings, with an option to hide default > parameters for compactness: https://scikit-learn.org/0.21/auto_examples/ > plot_changed_only_pprint_parameter.html > * for estimator and library developers: a way to tag your estimator so > that > it can be treated appropriately with check_estimator. https:// > scikit-learn.org/0.21/developers/contributing.html#estimator-tags > There are many other enhancements and fixes listed in the release notes ( > https://scikit-learn.org/0.21/whats_new). > Please note that Scikit-learn has new dependencies: > * joblib >= 0.11, which used to be vendored within Scikit-learn > * OpenMP, unless the environment variable SKLEARN_NO_OPENMP=1 when the > code > is compiled (and cythonized) > Happy Learning! > From the Scikit-learn core dev team. > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn -- Gael Varoquaux Senior Researcher, INRIA http://gael-varoquaux.info http://twitter.com/GaelVaroquaux _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
