Re: [scikit-learn] Truncated svd not working for complex matrices

[Alexandre Gramfort]

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.
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Re: [scikit-learn] scikit-learn 0.19.0 is out!

[Valerio Maggio]

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
> > ___
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> > https://mail.python.org/mailman/listinfo/scikit-learn
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-- 
# valerio
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Re: [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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Re: [scikit-learn] scikit-learn 0.19.0 is out!

[Ashim Bhattarai]

Yes, thank you everyone!

On Sat, Aug 12, 2017 at 12:32 AM, Raga Markely 
wrote:

> Thanks a lot for all the hard work and congratz!
>
> Best,
> Raga
>
> On Aug 12, 2017 1:21 AM, "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) :)
>>
>>
>> > 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.infohttp://twitter.com/GaelVaroqua
>> ux
>> > ___
>> > scikit-learn mailing list
>> > scikit-learn@python.org
>> > https://mail.python.org/mailman/listinfo/scikit-learn
>>
>> ___
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>>
>
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>
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