It's a pity that people who contributed to the release are not listed anymore.
Of course, congrats to everyone involved and in particular to our release managers :) M. On Fri, Nov 6, 2015 at 9:45 AM, Andreas Mueller <t3k...@gmail.com> wrote: > Hey everybody. > > I'm happy to announce the release of scikit-learn 0.17. > A big thank you to everybody who contributed. > > Highlights of the release include: > > - Latent Dirichlet Allocation via Online Variational Inference > - A Stochastic Average Gradient solver for LogisticRegression and > RidgeRegression > - A Coordinate Descent solver for NMF (which is much faster!) > - The Barnes-Hut approximation for T-SNE (much faster!) > - Many new cross-validation strategies and preprocessing transformers > - Speed improvements to the tree-based models > - and so much more... > > Read the full change-log here: > http://scikit-learn.org/stable/whats_new.html > > An important API change is that we deprecated support for X being a 1d > array. > Please make sure that X is always (n_features, n_samples), even if one > of them is one. > > > The new version is available via pip and conda: > > $ pip install --update scikit-learn > > or > > $ conda update scikit-learn > > Please don't update a (ana)conda installation using pip, as that might > lead to problems. > Let us know any issues you have on the issue tracker: > https://github.com/scikit-learn/scikit-learn/issues > > Happy learning! > > Andy > > > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >
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