Re: [scikit-learn] Truncated svd not working for complex matrices
I agree with Gaël on this. If you want to support complex values just copy the estimators / functions you want and maintain them in a separate package. +1 to error when complex are passed. ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Re: [scikit-learn] scikit-learn 0.19.0 is out!
On Sat, 12 Aug 2017 at 07:20, Sebastian Raschka wrote: > Yay, as an avid user, thanks to all the developers! This is a great > release indeed -- no breaking changes (at least for my code base) and so > many improvements and additions (that I need to check out in detail) :) Quoting Sebastian: totally agree!! +1 Thanks a lot for this super new release and for all these improvements. Cheers Valerio > > > > On Aug 12, 2017, at 1:14 AM, Gael Varoquaux < > gael.varoqu...@normalesup.org> wrote: > > > > Hurray, thank you everybody. This is a good one! (as always). > > > > Gaël > > > > On Sat, Aug 12, 2017 at 12:16:07AM +0200, Guillaume Lemaître wrote: > >> Congrats guys > > > >> On 11 August 2017 at 23:57, Andreas Mueller wrote: > > > >>Thank you everybody for making the release possible, in particular > Olivier > >>and Joel :) > > > >>Wohoo! > > > >>___ > >>scikit-learn mailing list > >>scikit-learn@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@python.org > > https://mail.python.org/mailman/listinfo/scikit-learn > > ___ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -- # valerio ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Re: [scikit-learn] scikit-learn 0.19.0 is out!
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 ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn