Hi all, sorry, I really don’t mean to spam the mailing list, but hey, I really want to say THANKS for the 0.17 release! I can only imagine how many hours and efforts you put into that! As a heavy scikit-learn user, I feel somewhat bad that I didn’t find the time recently to contribute more often, but I am planning to carve out some time in future to help improving the already great library!
Many thanks! Sebastian > On Nov 6, 2015, at 10:22 AM, Gael Varoquaux <gael.varoqu...@normalesup.org> > wrote: > > +1. My position on that list doesn't reflect the amount of code I have > contributed: it over estimates it compared to people who have made large pull > requests and squashed. It also doesn't account at all for any reviewing. > > Sent from my phone. Please forgive brevity and mis spelling > On Nov 6, 2015, at 15:16, Andreas Mueller <t3k...@gmail.com> wrote: > We can reintroduce the list of contributors but I wasn't convinced it send a > good message, as it emphasizes a particular metric. Squashing commits > basically kills your number of commits, so good practices are punished. > Also, or doesn't count reviews, which are at least as important as code. > The changelog still names the authors next to the commits. > If the consensus is that it is valuable we can add it back in / keep doing it > for the future. > > On Nov 6, 2015 04:05, "Mathieu Blondel" <math...@mblondel.org> wrote: > 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 > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
