Re: [scikit-learn] 0.18?

Many thanks ! Bertrand On 17/08/2016 16:43, Olivier Grisel wrote: Ok I fixed all the 32 bit Linux & OSX build issues in scikit-learn master and all wheels builds are green with the multibuild setup: https://travis-ci.org/MacPython/scikit-learn-wheels Matthew: would you be interested in having

Re: [scikit-learn] ANN Scikit-learn 0.18 released

Congrats ! Bertrand On 29/09/2016 07:28, Gael Varoquaux wrote: Hurray! Congratulations to everybody, and in particular the release time! Gaël On Wed, Sep 28, 2016 at 05:01:45PM -0400, Andreas Mueller wrote: Hi everybody. I'm happy to announce scikit-learn 0.18 has been released today. You c

Re: [scikit-learn] scikit-learn 0.19b2 is available for testing

Great work indeed ! Thx, Bertrand On 17/07/2017 22:08, Alexandre Gramfort wrote: great team work as usual ! congrats everyone Alex ___ 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.LocalO

Re: [scikit-learn] imbalanced-learn 0.3.0 is chasing scikit-learn 0.19.0

+1 B On 25/08/2017 07:52, Gael Varoquaux wrote: Indeed, congratulations for the release! Gaël On Fri, Aug 25, 2017 at 02:13:26PM +1000, Joel Nothman wrote: Congratulations Guillaume and the imblearn team! On 25 August 2017 at 10:14, Guillaume Lemaître wrote: We are excited to announce t

Re: [scikit-learn] Custom kernel for PLS Regression (using NIPALS algorithm)

No this does not exist. It may be a good addition to the library, but could you elaborate a bit on the use-case ? A workaround to this could be to provide PLS Regression a feature representation that implictily embodies the kernel similarity. Accoding to the chosen kernel, this can be easy or

Re: [scikit-learn] How does multiple target Ridge Regression work in scikit learn?

The alpha parameter is shared for all problems; If you wnat to use differnt parameters, you probably want to perform seprate fits. Best, Bertrand On 02/05/2018 13:08, Peer Nowack wrote: Hi all, I am struggling to understand the following: Scikit-learn offers a multiple output version for Ri

Re: [scikit-learn] RFE with logistic regression

Univariate screening is somewhat hackish too, but much more stable -- and cheap. Best, Bertrand On 24/07/2018 23:33, Benoît Presles wrote: So you think that I cannot get reproducible and consistent results with this method ? If you would avoid RFE, which method do you suggest to find the best

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

Congratulations ! Bertrand On 26/09/2018 20:55, Andreas Mueller wrote: Hey everbody! I'm happy to (finally) announce scikit-learn 0.20.0. This release is dedicated to the memory of Raghav Rajagopalan. You can upgrade now with pip or conda! There is many important additions and updates, and you

Re: [scikit-learn] Consultation: eligibility of inclusion of speed-up?

My understanding is that this is a rather well-grounded and light-weight sketching technique, that fits well in sklearn. +1 for me But yes, I remember that we have enforced the 200-citation rule quite strictly in the past. Best, B On 26/02/2019 10:46, Gael Varoquaux wrote: I need core devs

Re: [scikit-learn] Vote on SLEP010: n_features_in_ attribute

+1 for me. Best, Bertrand On 03/12/2019 23:09, Nicolas Hug wrote: As per our Governance document, changes to API principles are to be established through an Enhancement Proposal (SLEP) from which any core developer can call for a vote on its a

Re: [scikit-learn] Vote: Add Adrin Jalali to the scikit-learn technical committee

+1 On 27/04/2020 15:28, Roman Yurchak wrote: +1 On 27/04/2020 15:20, Jeremie du Boisberranger wrote: +1 De toute évidence il s'agit de business plus que de science. On 27/04/2020 15:18, Nicolas Hug wrote: +1 On 4/27/20 9:16 AM, Gael Varoquaux wrote: +1 And thank you very much Adrin! On M

Re: [scikit-learn] [ANNOUNCEMENT] scikit-learn 1.0 release

Congrats !  Bertrand Le 24/09/2021 à 19:12, Olivier Grisel a écrit : Yeah! Thank you so much Adrin for all your efforts in getting this release out! Congratulations everyone, time to celebrate! ___ scikit-learn mailing list scikit-learn@python.org

Re: [scikit-learn] Scikit-learn got a prize in France

Congrats ! B Le 05/02/2022 à 16:23, Gael Varoquaux a écrit : Hi everyone, It has just been announced that scikit-learn has received a prize for open-source scientific software from the French government: https://twitter.com/Osec2022/status/1489973348637585416 I knew that we were short-listed,

Re: [scikit-learn] [ANN] scikit-learn 1.1 release

Congratulations ! B Le 12/05/2022 à 17:20, Jeremie du Boisberranger a écrit : Hi everyone, We're happy to announce the 1.1 release which you can install via pip or conda:     pip install -U scikit-learn or (soon)     conda install -c conda-forge scikit-learn The wheels for arm64 are not a