U On Wed, Jul 3, 2024, 21:30 <scikit-learn-requ...@python.org> wrote:
> Send scikit-learn mailing list submissions to > scikit-learn@python.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://mail.python.org/mailman/listinfo/scikit-learn > or, via email, send a message with subject or body 'help' to > scikit-learn-requ...@python.org > > You can reach the person managing the list at > scikit-learn-ow...@python.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of scikit-learn digest..." > > > Today's Topics: > > 1. [ANN] scikit-learn 1.5.1 is online! (J?r?mie du Boisberranger) > 2. Re: [ANN] scikit-learn 1.5.1 is online! (Guillaume Lema?tre) > 3. Skrub 0.2.0: tabular learning made easy (Gael Varoquaux) > 4. Re: [ANN] scikit-learn 1.5.1 is online! (Gael Varoquaux) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Wed, 3 Jul 2024 11:23:17 +0200 > From: J?r?mie du Boisberranger <jeremie.du-boisberran...@inria.fr> > To: scikit-learn@python.org > Subject: [scikit-learn] [ANN] scikit-learn 1.5.1 is online! > Message-ID: <e0ef2dd6-723b-4f9b-8e9d-1593665b3...@inria.fr> > Content-Type: text/plain; charset=UTF-8; format=flowed > > Hello everyone, > > We're happy to announce the 1.5.1 release ! > > > It contains fixes for a few regressions introduced in 1.5. > > You can see the changelog here: > https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1 > > > You can upgrade with pip as usual: > > ``` > pip install -U scikit-learn > ``` > > The conda-forge builds can be installed using: > > ``` > conda install -c conda-forge scikit-learn > ``` > > > Thanks to everyone who contributed to this release ! > > J?r?mie, on behalf of the Scikit-learn maintainers team. > > > > ------------------------------ > > Message: 2 > Date: Wed, 3 Jul 2024 11:28:31 +0200 > From: Guillaume Lema?tre <g.lemaitr...@gmail.com> > To: Scikit-learn mailing list <scikit-learn@python.org> > Subject: Re: [scikit-learn] [ANN] scikit-learn 1.5.1 is online! > Message-ID: > <CACDxx9hovH3CydHOkOAQ1yWXBJJqntkF5pt+OjL6Lx= > xutt...@mail.gmail.com> > Content-Type: text/plain; charset="utf-8" > > Thanks J?r?mie for this one. > > On Wed, 3 Jul 2024 at 11:26, J?r?mie du Boisberranger < > jeremie.du-boisberran...@inria.fr> wrote: > > > Hello everyone, > > > > We're happy to announce the 1.5.1 release ! > > > > > > It contains fixes for a few regressions introduced in 1.5. > > > > You can see the changelog here: > > https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1 > > > > > > You can upgrade with pip as usual: > > > > ``` > > pip install -U scikit-learn > > ``` > > > > The conda-forge builds can be installed using: > > > > ``` > > conda install -c conda-forge scikit-learn > > ``` > > > > > > Thanks to everyone who contributed to this release ! > > > > J?r?mie, on behalf of the Scikit-learn maintainers team. > > > > _______________________________________________ > > scikit-learn mailing list > > scikit-learn@python.org > > https://mail.python.org/mailman/listinfo/scikit-learn > > > > > -- > Guillaume Lemaitre > Open source engineer at :probabl. > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: < > https://mail.python.org/pipermail/scikit-learn/attachments/20240703/73c35a14/attachment-0001.html > > > > ------------------------------ > > Message: 3 > Date: Wed, 3 Jul 2024 15:04:48 +0200 > From: Gael Varoquaux <gael.varoqu...@normalesup.org> > To: Scikit-learn user and developer mailing list > <scikit-learn@python.org> > Subject: [scikit-learn] Skrub 0.2.0: tabular learning made easy > Message-ID: > <j4gq2kqbqffb5qisbqxfwturrqt2bun5udo4avue5lifla2zjt@sqtnsnwljhwg> > Content-Type: text/plain; charset=iso-8859-1 > > Hi scikit-learn'ers > > We just released skrub 0.2.0: https://skrub-data.org. This release > markedly simplifies learning on complex dataframes. > > # `model = tabular_learner('classifier')` > > The highlight of the release is the `tabular_learner` function, which > facilitates creating pipelines that readily perform machine learning on > dataframes, adding preprocessing to a scikit-learn compatible learner. The > function basically packs defaults and heuristics to transform all forms of > dataframes to a representation that is well suited to a learner, and it can > adapt these transformation: > tabular_learner(HistGradientBoostingClassifier()) encodes categories > differently than tabular_learner(LogisticRegression()). > > The heuristics are tuned based on much benchmarking and experience shows > that they give good tradeoffs. The default `tabular_learner('classifier')` > is often a strong baseline. > > > # `transformer = TableVectorizer()` > > Behind the hood, the work is done by the `skrub.TableVectorizer()`, a > scikit-learn compatible transformer that facilitates combining multiple > transformations on the different columns of a dataframe. The > TableVectorizer is not new in the 0.2.0 release, but we have completely > revamped its internals to cover really well edge cases. Indeed, one > challenge is to make sure that nothing different or strange happens at test > time. Actually, enforcing consistency between train-time and test-time > transformation is the real value of skrub compared to using pandas or > polars to do transformation. > > # Increasing support of polars > > We have implemented a new mechanism for supporting both pandas and polars. > It has not been applied on all the codebase, hence the support is still > imperfect. However, we are seeing increasing support for polars in skrub, > and our goal in the short term is to provide rock-solid polar support. > > Try skrub out! It's still young, but in mind opinion, it provides a lot of > value to tabular learning. > > Cheers, > > Ga?l > > > ------------------------------ > > Message: 4 > Date: Wed, 3 Jul 2024 14:53:00 +0200 > From: Gael Varoquaux <gael.varoqu...@normalesup.org> > To: Scikit-learn mailing list <scikit-learn@python.org> > Subject: Re: [scikit-learn] [ANN] scikit-learn 1.5.1 is online! > Message-ID: > <bpvuwgcoyzumjrh5mkfcfwj4hr57woshhmzumuqdecc57tflr5@ypis73ehtv4h> > Content-Type: text/plain; charset=iso-8859-1 > > On Wed, Jul 03, 2024 at 11:28:31AM +0200, Guillaume Lema?tre wrote: > > Thanks J?r?mie for this one. > > +1! Thanks heaps, it's a lot of work, but so much value to the users! > > Ga?l > > > On Wed, 3 Jul 2024 at 11:26, J?r?mie du Boisberranger <[1] > > jeremie.du-boisberran...@inria.fr> wrote: > > > Hello everyone, > > > We're happy to announce the 1.5.1 release ! > > > > It contains fixes for a few regressions introduced in 1.5. > > > You can see the changelog here: > > [2]https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1 > > > > You can upgrade with pip as usual: > > > ``` > > pip install -U scikit-learn > > ``` > > > The conda-forge builds can be installed using: > > > ``` > > conda install -c conda-forge scikit-learn > > ``` > > > > Thanks to everyone who contributed to this release ! > > > J?r?mie, on behalf of the Scikit-learn maintainers team. > > > _______________________________________________ > > scikit-learn mailing list > > [3]scikit-learn@python.org > > [4]https://mail.python.org/mailman/listinfo/scikit-learn > -- > Gael Varoquaux > Research Director, INRIA > http://gael-varoquaux.info http://twitter.com/GaelVaroquaux > > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > > ------------------------------ > > End of scikit-learn Digest, Vol 98, Issue 1 > ******************************************* >
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