[scikit-learn] ANN Scikit-learn 0.18 released

[Joel Nothman]

(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 <se.raschka at gmail.com>
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 <
> gael.varoquaux at normalesup.org> 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
> >> scikit-learn at python.org
> >> 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
> > scikit-learn at python.org
> > https://mail.python.org/mailman/listinfo/scikit-learn
>
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