(this has been in drafts a few days and I'm sure there's plenty I've missed from the lists below)
Well done, everyone! The size of this release - and the group of people that contributed to it - is even a bit overwhelming. Thanks for managing the release, Andy... and writing it up as a book! We've got a lot in the works already for 0.19. There are a number of things that have been a long time coming and which I'd really like to see happen, such as: * multiple metrics for cross validation (#7388 et al.) * documenting and officially making (most) utils public (#6616) * indicator features for Imputer, done right (#6556) * KNN imputation (#2989, #4844) * ColumnTransformer or similar for heterogeneous data (#2034, #886) * dataset resampling (#1454) * string handling in OneHotEncoder (#7327) * interpolation in average_precision_score (#7356) * tree categorical splits (#4899) * k-best feature selection from a model's feature_importances_ (#6717) * ? feature name transformation (#6425) * ? sample_weight support in CV scoring (#1179, #2879, #3524, #1574; perhaps this isn't as easy as it looks) There are things that are important but will probably require more work: * making common tests and their exceptions more general (perhaps by way of "estimator tags") * improving our LSH offerings and integration It's all a bit overwhelming and all help ensuring that the issue backlog is tracked, and that the solutions are designed, built and reviewed would be most welcome! J On 29 September 2016 at 15:34, Sebastian Raschka <[email protected]> wrote: > Have been playing around with the new functionality tonight. There are so > many great additions, especially the new CV functionality in the > model_selection module is super great. Nested CV is much more convenient > now! Congratulations to everyone, and thanks for this great new version! :) > > > > On Sep 29, 2016, at 1:28 AM, Gael Varoquaux < > [email protected]> wrote: > > > > Hurray! > > > > Congratulations to everybody, and in particular the release time! > > > > Gaël > > > > On Wed, Sep 28, 2016 at 05:01:45PM -0400, Andreas Mueller wrote: > >> Hi everybody. > > > >> I'm happy to announce scikit-learn 0.18 has been released today. > >> You can install from pipy or anaconda.org: > > > >> pip install --upgrade scikit-learn --no-deps > > > > > >> or if you prefer conda: > > > >> conda update scikit-learn > > > > > >> A big thank you to everybody who contributed. > >> This one took us a while, but I think it's worth the wait. > > > >> Highlights include: > >> - A new GaussianProcessClassifier and GaussianProcessRegressor to learn > >> complex kernels! > >> - A much improved GaussianMixture and BayesianGaussianMixture mixture > >> models. > >> - We moved the content of the grid_search, cross_validation and > >> validation_curve modules to the new model_selection module. > >> - A Multi-layer perceptron. > > > >> and soo much more that it's impossible to summarize. > >> Check out the full changelog here: > > > >> http://scikit-learn.org/stable/whats_new.html#version-0-18 > > > >> 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 > > > >> Enjoy! > > > >> Andy > >> _______________________________________________ > >> scikit-learn mailing list > >> [email protected] > >> https://mail.python.org/mailman/listinfo/scikit-learn > > > > -- > > Gael Varoquaux > > Researcher, INRIA Parietal > > NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France > > Phone: ++ 33-1-69-08-79-68 > > http://gael-varoquaux.info http://twitter.com/ > GaelVaroquaux > > _______________________________________________ > > scikit-learn mailing list > > [email protected] > > https://mail.python.org/mailman/listinfo/scikit-learn > > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn >
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