[scikit-learn] scikit-learn 0.19.0 is out!

[bthirion]

Congratulations for all these improvements and for orchestrating the 
release !
Bertrand


On 11/08/2017 23:49, Olivier Grisel wrote:
> Grab it with pip or conda !
>
> Quoting the release highlights from the website:
>
> We are excited to release a number of great new features including 
> neighbors.LocalOutlierFactor for anomaly detection, 
> preprocessing.QuantileTransformer for robust feature transformation, 
> and the multioutput.ClassifierChain meta-estimator to simply account 
> for dependencies between classes in multilabel problems. We have some 
> new algorithms in existing estimators, such as multiplicative update 
> in decomposition.NMF and multinomial linear_model.LogisticRegression 
> with L1 loss (use solver='saga').
>
> Cross validation is now able to return the results from multiple 
> metric evaluations. The new model_selection.cross_validate can return 
> many scores on the test data as well as training set performance and 
> timings, and we have extended the scoring and refit parameters for 
> grid/randomized search to handle multiple metrics.
>
> You can also learn faster. For instance, the new option to cache 
> transformations in pipeline.Pipeline makes grid search over pipelines 
> including slow transformations much more efficient. And you can 
> predict faster: if you’re sure you know what you’re doing, you can 
> turn off validating that the input is finite using config_context.
>
> We’ve made some important fixes too. We’ve fixed a longstanding 
> implementation error in metrics.average_precision_score, so please be 
> cautious with prior results reported from that function. A number of 
> errors in the manifold.TSNE implementation have been fixed, 
> particularly in the default Barnes-Hut approximation. 
> semi_supervised.LabelSpreading and semi_supervised.LabelPropagation 
> have had substantial fixes. LabelPropagation was previously broken. 
> LabelSpreading should now correctly respect its alpha parameter.
>
> Please see the full changelog at:
>
> http://scikit-learn.org/0.19/whats_new.html#version-0-19
>
> Notably some models have changed behaviors (bug fixes) and some 
> methods or parameters part of the public API have been deprecated.
>
> A big thank you to anyone who made this release possible and Joel in 
> particular.
>
> --
> Olivier
>
>
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