Mailman 3 January 2019 - scikit-learn

GSoC 2019
by Rohan Lekhwani Jan. 11, 2019

Jan. 11, 2019

Hello, I'm an undergraduate interested in participating in GSoC 2019. I wished to enquire if scikit-learn would be participating under the umbrella of Python Software Foundation this year as a sub-org.Thanks. Rohan

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Next Sprint
by Andreas Mueller Jan. 10, 2019

Jan. 10, 2019

Hey folks. Are there any plans for a next sprint (in Paris/Europe?)? OpenML would like to join us next time and I think that would be cool. But they (and I ;) need some advance planning. I also have some funding that I could use for this as well. Cheers, Andy

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Any clustering algo to cluster by the ratio of series data ?
by lampahome Jan. 10, 2019

Jan. 10, 2019

Cluster algo cluster samples by calculating the euclidean distance. I wonder if any clustering algo can cluster the series data? EX: Every items has there sold numbers of everyday. Item,Day1,Day2,Day3,Day4,Day5 A,1,5,1,5,1 B,10,50,10,50,10, C,4,70,30,10,50 The difference ratio of A and B are 500%,20%,500%,20%, I want to make A&B be the same cluster, C is another one. If I don't want to calculate the difference ratio of each samples Is there anyway to cluster by the difference ratio of each samples? thx

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Does sklearn contain xgboost?
by lampahome Jan. 9, 2019

Jan. 9, 2019

As title Does sklearn contain xgboost to use? thanks

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LogisticRegression coef_ greater than n_features?
by pisymbol Jan. 9, 2019

Jan. 9, 2019

According to the doc (0.20.2) the coef_ variables are suppose to be shape (1, n_features) for binary classification. Well I created a Pipeline and performed a GridSearchCV to create a LogisticRegresion model that does fairly well. However, when I want to rank feature importance I noticed that my coefs_ for my best_estimator_ has 24 entries while my training data has 22. What am I missing? How could coef_ > n_features? -aps

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Re: [scikit-learn] Next Sprint
by Hanmin Qin Jan. 8, 2019

Jan. 8, 2019

Apologies I won't be available because of school work.Thanks the whole community for your great help. I'll continue to contribute and keep online during the sprint. Hanmin Qin ----- Original Message ----- From: Gael Varoquaux <gael.varoquaux(a)normalesup.org> To: Scikit-learn mailing list <scikit-learn(a)python.org> Subject: Re: [scikit-learn] Next Sprint Date: 2019-01-08 05:40 Hi everybody and happy new year, We let this thread about the sprint die. I hope that this didn't change people's plans. So, it seems that the week of Feb 25th is a good week. I'll assume that it's good for most and start planning from there (if it's not the case, let me know). I've started our classic sprint-planing wiki page: https://github.com/scikit-learn/scikit-learn/wiki/Upcoming-events It's not rocket science, but it's better than an email thread to keep information together. It would be great if people could add their name, and if they need funding. We need to evaluate if we need to find funding. Also, it's quite soon, so maybe it would be good to start planning accommodation and travel :$. Cheers, Gaël On Sat, Dec 22, 2018 at 05:27:39PM +0100, Guillaume Lemaître wrote: > Works for me as well. > Sent from my phone - sorry to be brief and potential misspell. > Original Message > From: scikit-learn(a)python.org > Sent: 22 December 2018 17:17 > To: scikit-learn(a)python.org > Reply to: rth.yurchak(a)pm.me; scikit-learn(a)python.org > Cc: rth.yurchak(a)pm.me > Subject: Re: [scikit-learn] Next Sprint > That works for me as well. > On 21/12/2018 16:00, Olivier Grisel wrote: > > Ok for me. The last 3 weeks of February are fine for me. > > Le jeu. 20 déc. 2018 à 21:21, Alexandre Gramfort > > <alexandre.gramfort(a)inria.fr <mailto:alexandre.gramfort@inria.fr>> a écrit : > > ok for me > > Alex > > On Thu, Dec 20, 2018 at 8:35 PM Adrin <adrin.jalali(a)gmail.com > > <mailto:adrin.jalali@gmail.com>> wrote: > > > > > > It'll be the least favourable week of February for me, but I can > > make do. > > > > > > On Thu, 20 Dec 2018 at 18:45 Andreas Mueller <t3kcit(a)gmail.com > > <mailto:t3kcit@gmail.com>> wrote: > > >> > > >> Works for me! > > >> > > >> On 12/19/18 5:33 PM, Gael Varoquaux wrote: > > >> > I would propose the week of Feb 25th, as I heard people say > > that they > > >> > might be available at this time. It is good for many people, > > or should we > > >> > organize a doodle? > > >> > > > >> > G > > >> > > > >> > On Wed, Dec 19, 2018 at 05:27:21PM -0500, Andreas Mueller wrote: > > >> >> Can we please nail down dates for a sprint? > > >> >> On 11/20/18 2:25 PM, Gael Varoquaux wrote: > > >> >>> On Tue, Nov 20, 2018 at 08:15:07PM +0100, Olivier Grisel wrote: > > >> >>>> We can also do Paris in April / May or June if that's ok > > with Joel and better > > >> >>>> for Andreas. > > >> >>> Absolutely. > > >> >>> My thoughts here are that I want to minimize transportation, > > partly > > >> >>> because flying has a large carbon footprint. Also, for > > personal reasons, > > >> >>> I am not sure that I will be able to make it to Austin in > > July, but I > > >> >>> realize that this is a pretty bad argument. > > >> >>> We're happy to try to host in Paris whenever it's most > > convenient and to > > >> >>> try to help with travel for those not in Paris. > > >> >>> Gaël > > >> >>> _______________________________________________ > > >> >>> scikit-learn mailing list > > >> >>> scikit-learn(a)python.org <mailto:scikit-learn@python.org> > > >> >>> https://mail.python.org/mailman/listinfo/scikit-learn > > >> >> _______________________________________________ > > >> >> scikit-learn mailing list > > >> >> scikit-learn(a)python.org <mailto:scikit-learn@python.org> > > >> >> https://mail.python.org/mailman/listinfo/scikit-learn > > >> > > >> _______________________________________________ > > >> scikit-learn mailing list > > >> scikit-learn(a)python.org <mailto:scikit-learn@python.org> > > >> https://mail.python.org/mailman/listinfo/scikit-learn > > > > > > _______________________________________________ > > > scikit-learn mailing list > > > scikit-learn(a)python.org <mailto:scikit-learn@python.org> > > > https://mail.python.org/mailman/listinfo/scikit-learn > > _______________________________________________ > > scikit-learn mailing list > > scikit-learn(a)python.org <mailto:scikit-learn@python.org> > > https://mail.python.org/mailman/listinfo/scikit-learn > _______________________________________________ > scikit-learn mailing list > scikit-learn(a)python.org > https://mail.python.org/mailman/listinfo/scikit-learn > _______________________________________________ > scikit-learn mailing list > scikit-learn(a)python.org > https://mail.python.org/mailman/listinfo/scikit-learn -- Gael Varoquaux Senior 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(a)python.org https://mail.python.org/mailman/listinfo/scikit-learn

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How GridSearchCV to get best_params?
by lampahome Jan. 5, 2019

Jan. 5, 2019

as title In the doc it says: best_params_ : dict Parameter setting that gave the best results on the hold out data. My question is what is the hold out data? It's score of train data or test data, or mean of train and test score? thx

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Re: [scikit-learn] ANN: Scikit-learn 0.20.2 released
by Hanmin Qin Jan. 1, 2019

Jan. 1, 2019

0.20.2 is now available on conda default channel. Happy new year to everyone! The scikit-learn developer team ----- Original Message ----- From: Joel Nothman <joel.nothman(a)gmail.com> To: Scikit-learn user and developer mailing list <scikit-learn(a)python.org> Subject: [scikit-learn] ANN: Scikit-learn 0.20.2 released Date: 2019-01-01 09:28 A bug fix release of scikit-learn, version 0.20.2, was released a couple of weeks ago. It is not yet on Conda default channel, but should be available on pypi and conda-forge. Thank you to all who contributed. As well as the changes listed at https://scikit-learn.org/0.20/whats_new.html#version-0-20-2 and documentation improvements, we also corrected an error in packaging the source distribution for the previous release: we have made sure to use the latest cython this time. We still anticipate that there will be a further release in the 0.20 series to fix regressions from 0.19 to 0.20. Happy new year, and happy learning! The scikit-learn developer team _______________________________________________ scikit-learn mailing list scikit-learn(a)python.org https://mail.python.org/mailman/listinfo/scikit-learn

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ANN: Scikit-learn 0.20.2 released
by Joel Nothman Jan. 1, 2019

Jan. 1, 2019

A bug fix release of scikit-learn, version 0.20.2, was released a couple of weeks ago. It is not yet on Conda default channel, but should be available on pypi and conda-forge. Thank you to all who contributed. As well as the changes listed at https://scikit-learn.org/0.20/whats_new.html#version-0-20-2 and documentation improvements, we also corrected an error in packaging the source distribution for the previous release: we have made sure to use the latest cython this time. We still anticipate that there will be a further release in the 0.20 series to fix regressions from 0.19 to 0.20. Happy new year, and happy learning! The scikit-learn developer team

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