[scikit-learn] scikit-learn 0.19.0 is out!
bertrand.thirion at inria.fr
Sat Aug 12 04:50:43 EDT 2017
Congratulations for all these improvements and for orchestrating the
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:
> 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
> scikit-learn mailing list
> scikit-learn at python.org
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