Hurray! Thank you Andy for shepperding this release!

Gaƫl

On Thu, Nov 05, 2015 at 07:45:18PM -0500, Andreas Mueller 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

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-- 
    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

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