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<div class="moz-cite-prefix">Congratulations for all these
improvements and for orchestrating the release !<br>
Bertrand<br>
<br>
<br>
On 11/08/2017 23:49, Olivier Grisel wrote:<br>
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<div>Grab it with pip or conda !<br>
<br>
Quoting the release highlights from the website:<br>
<br>
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').<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Please see the full changelog at:<br>
<br>
<a
href="http://scikit-learn.org/0.19/whats_new.html#version-0-19"
moz-do-not-send="true">http://scikit-learn.org/0.19/whats_new.html#version-0-19</a><br>
<br>
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<div>Notably some models have changed behaviors (bug fixes) and
some methods or parameters part of the public API have been
deprecated.<br>
<br>
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A big thank you to anyone who made this release possible and
Joel in particular.<br>
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--<br>
Olivier</div>
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