Mailman 3 August 2019 - scikit-learn

Version 0.21! and plot_tree!
by Andrew Howe Dec. 5, 2019

Dec. 5, 2019

I want to say thank you to all the sklearn developers. The breadth and quality of this software is truly breathtaking. Specifically, I want to say thank you very very much for the plot_tree function! I have wasted a lot of effort in the past, on multiple OSes, getting everything to work so I could view the tree.export_graphviz results. Having this new function to plot the trees natively in matplotlib is extremely useful. Thanks again! Andrew <~~~~~~~~~~~~~~~~~~~~~~~~~~~> J. Andrew Howe, PhD LinkedIn Profile <http://www.linkedin.com/in/ahowe42> ResearchGate Profile <http://www.researchgate.net/profile/John_Howe12/> Open Researcher and Contributor ID (ORCID) <http://orcid.org/0000-0002-3553-1990> Github Profile <http://github.com/ahowe42> Personal Website <http://www.andrewhowe.com> I live to learn, so I can learn to live. - me <~~~~~~~~~~~~~~~~~~~~~~~~~~~>

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Re: [scikit-learn] Monthly meetings between core developers
by Hanmin Qin Sept. 18, 2019

Sept. 18, 2019

I don't think it's worthwhile to worry too much about Beijing time if I'm the only person in Beijing. I'm happy to get up early once a month to learn from the great team! Hanmin Qin ----- Original Message ----- From: Alexandre Gramfort <alexandre.gramfort(a)inria.fr> To: Scikit-learn mailing list <scikit-learn(a)python.org> Subject: Re: [scikit-learn] Monthly meetings between core developers Date: 2019-07-18 17:16 hi, I kind of like the project boards we used for sprints: https://github.com/scikit-learn/scikit-learn/projects/11 the outcome of the core devs meeting could be to agree what should be listed on such a priority board. my 2c Alex On Thu, Jul 18, 2019 at 10:59 AM Olivier Grisel <olivier.grisel(a)ensta.org> wrote: > > I just found this planner to give it a try: > > https://www.timeanddate.com/worldclock/meetingtime.html?day=29&month=7&year… > > (Berlin and Paris are on the same timezone so I did not put only Berlin). > > It's going to be challenging to find a timeslot for every body. The > least extreme timeslot for everybody to attend at the same time would > be: > > https://www.timeanddate.com/worldclock/meetingdetails.html?year=2019&month=… > > We could also arrange for a second timeslot later (that would be > Tuesday morning in Australia and China): > > https://www.timeanddate.com/worldclock/meetingdetails.html?year=2019&month=… > > I wouldn't mind doing a meeting around 11pm on Monday evening from > time to time but it would still be very early for Beijing. > > Just to let you know, I will be off from next Saturday till Monday > August 19 (big summer break :) so don't count on my for the first > meeting if you start the meetings in the mean time. > > Le jeu. 18 juil. 2019 à 00:15, Andreas Mueller <t3kcit(a)gmail.com> a écrit : > > > > > > > > On 7/17/19 2:17 PM, Guillaume Lemaître wrote: > > > I am +1. This is a great initiative. > > > > > > IMO, we could make it really regular (i.e., a specific week-day of a > > > specific week in a month), with a rolling time (for the time-zone issue). > > > In this matter, we could maybe clear more in advance our agenda > > > instead of trying to find a date which accommodates everyone. > > > > > I agree, we could do something like the last Monday every month and > > alternate between two (or three) different time zones. > > We have CET (UTC+1), EST (UTC-5), CT (UTC+08), AEDT (USC+11) so that > > seems super easy, right? > > (TIL CST can stand for "Central"/US, China, and Cuba! not confusing at all) > > > > I agree that we should be as inclusive as possible, but I also don't > > want to create the expectation that some people (not thinking of any > > Australian in particular) > > who already sacrifice a lot of their free time have to invest even more > > time to keep up with the rest. > > > > I think the idea of posting write-ups will help being more inclusive in > > that regard. > > _______________________________________________ > > scikit-learn mailing list > > scikit-learn(a)python.org > > https://mail.python.org/mailman/listinfo/scikit-learn > > > > -- > Olivier > http://twitter.com/ogrisel - http://github.com/ogrisel > _______________________________________________ > 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

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scikit-learn website and documentation
by Chiara Marmo Sept. 9, 2019

Sept. 9, 2019

Dear list, dear devs, I have started to look at the scikit-learn documentation: talking with developers in July here in Paris, it seemed that you all are concerned by a reorganization / relooking of the doc and nothing is better than a naïve beginner to check the effectiveness of a doc ... right? ;) ... and diving into the docs allows me to better familiarize with the project... :) As CSS and HTML5 are a bit more fun than reStructuredText I've started to play with styling together with the sphinx contents ... contents ask for more focusing ... I will be more serious on that starting from September ... >From the styling point of view, I am a big fan of this one [1] that you probably already know and I tried to apply those amazing styles to sphinx documentation. Then I saw the Andreas tweet [2] ... and decided to stop by to sum up. I've prepared a mock-up for the webpage available here [3]. It's a standard build of the doc with the editorial [4] styling (basic customization needs improvements). The code is available here [5]. I've tried not to move too far from the original visual ... because history is important, especially when you have one! :) I've focused on the homepage so don't expect big modifications in the doc itself. This is just a proof of concept. If you think I'm on the right track let me know... I will be happy to be useful on that. If not, or you already have someone taking care of that, please let me know too and I will find something else to do. Thanks for reading me. Best, Chiara [1] https://html5up.net/ [2] https://twitter.com/amuellerml/status/1161298913841885184 [3] https://cmarmo.github.io/mockup-skl/ [4] https://html5up.net/editorial [5] https://github.com/cmarmo/scikit-learn

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Re: [scikit-learn] scikit-learn Digest, Vol 41, Issue 21
by Mike Smith Sept. 3, 2019

Sept. 3, 2019

Hi, I have been scouring around everywhere to volunteer. I took a one month python course from a training company that promised me a job in two months but they're still working on it after 3. So I decide to volunteer. I'm looking to use python with DS, ML, AI, etc, I love neural nets, then it hit me that I get the scikit mailing list and opened it up and you guys are talking about volunteers. I would love to volunteer for scikit. But I just have one month training in python. I have prior experience with java and javascript, some computer science education, How can I start volunteering? On Mon, Aug 26, 2019 at 9:03 AM <scikit-learn-request(a)python.org> wrote: > Send scikit-learn mailing list submissions to > scikit-learn(a)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-request(a)python.org > > You can reach the person managing the list at > scikit-learn-owner(a)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. Re: Monthly meetings between core developers + "Hello World" > (Nicolas Hug) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Mon, 26 Aug 2019 08:54:21 -0400 > From: Nicolas Hug <niourf(a)gmail.com> > To: scikit-learn(a)python.org > Subject: Re: [scikit-learn] Monthly meetings between core developers + > "Hello World" > Message-ID: <136faf1a-5514-1c21-7514-0673b4ddde81(a)gmail.com> > Content-Type: text/plain; charset="utf-8"; Format="flowed" > > Meeting is in 5 minutes everyone! Prepare to be np.random.choice'd? :) > > https://appear.in/amueller > < > https://www.google.com/url?q=https://appear.in/amueller&sa=D&ust=1566914386… > > > > > On 8/22/19 10:11 AM, Nicolas Hug wrote: > > > > Hi Everyone, > > > > Quick reminder that the next meeting is on Monday! *Please update your > > cards on the project board* so we can all have a look before the > week-end. > > > > We decided to go for a "scrum-like" approach this time: quickly go > > through everyone's notes first, then discuss main issues. > > > > Anyone interested in hosting? I think we should have a new person each > > time, or you'll soon be fed up with me. If nobody speaks up I'll > > np.random.choice someone on Monday ;) > > > > ---- > > > > Time and date: > > > https://www.timeanddate.com/worldclock/meetingdetails.html?year=2019&month=… > > > > Project board: > > https://github.com/scikit-learn/scikit-learn/projects/15 > > < > https://www.google.com/url?q=https://github.com/scikit-learn/scikit-learn/p… > > > > > > Meeting link: https://appear.in/amueller > > < > https://www.google.com/url?q=https://appear.in/amueller&sa=D&ust=1566914386… > > > > > > > > See you on Monday! > > > > Nicolas > > > > > > On 8/5/19 10:31 AM, Andreas Mueller wrote: > >> As usual, I agree ;) > >> I think it would be good to call out particularly important bugfixes > >> so they get reviews. > >> We might also want to think about how we can organize the issue > >> tracker better. > >> > >> Having more full-time people on the project certainly means more > >> activity but ideally we can use some of that time to make the issue > >> tracker more organized. > >> > >> > >> On 8/5/19 9:21 AM, Joel Nothman wrote: > >>> Yay for technology!?Awesome to see you all and have some matters > >>> clarified. > >>> > >>> Adrin is right that the issue tracker is increasingly overwhelming > >>> (because there are more awesome people hired to work on the project, > >>> more frequent sprints, etc). This meeting is a useful summary. > >>> > >>> The meeting mostly focussed on big features. We should be careful to > >>> not leave behind important bugs fixes and work originating outside > >>> the core devs. > >>> > >>> Despite that: Some of Guillaume's activities got cut off. I think it > >>> would be great to progress both on stacking and resampling before > >>> the next release. > >>> > >>> I also think these meetings should, as a standing item, note the > >>> estimated upcoming release schedule, to help us remain aware of that > >>> cadence. > >>> > >>> Good night! > >>> > >>> J > >>> > >>> _______________________________________________ > >>> 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 >

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No convergence warning in logistic regression
by Benoît Presles Sept. 3, 2019

Sept. 3, 2019

Dear all, I compared the logistic regression of statsmodels (Logit) with the logistic regression of sklearn (LogisticRegression). As I do not do regularization, I use the fit method with statsmodels and set penalty='none' in sklearn. Most of the time, I have got the same results between the two packages. However, when data are correlated, it is not the case. In fact, I have got a very useful convergence warning with statsmodel (ConvergenceWarning: Maximum Likelihood optimization failed to converge) that I do not have with sklearn? Is it normal that I do not have any convergence warning with sklearn even if I put verbose=1? I guess sklearn did not converge either. Thanks for your help, Best regards, Ben

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Interest in decision thresholding and fairness ? pr [10117]
by Prokopis Gryllos Aug. 28, 2019

Aug. 28, 2019

Dear sklearn folks, Some time ago (almost two years now :D) I started working on this pr https://github.com/scikit-learn/scikit-learn/pull/10117 ; The starting point was an issue created by Andreas Mueller https://github.com/scikit-learn/scikit-learn/issues/8614. Andreas and Joel Nothman helped with reviewing all iterations up to a few months ago but for the most part the pr has been stalled. I'd like to ask the community if there is still interest for this to move forward? I think in today's state of ML decision thresholding is important; Day to day data science work frequently requires thinking about thresholds and many times people settle for intuitive solutions or thresholds that are not tested for generalisation. Furthermore using more advanced ways for choosing thresholds is not trivial. The increased interest in fairness in ML also points to the idea that thresholding is important. I am not sure if this is the best place to ask but I wasn't sure how else I could find out if people are interested in reviewing the work. I'd like to put some effort into finalising the feature and potentially adapt it to the current state of the art. Would something like that http://papers.nips.cc/paper/6374-equality-of-opportunity-in-supervised-lear… be of interest? Looking forward to your responses Gr, Prokopis

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Forest Decision path
by Surya D Aug. 27, 2019

Aug. 27, 2019

Hello! I am Surya, a student of the machine learning world. I am currently working on a project to obtain the values of nodes that are parents of the leaf nodes in the decision path of each tree. I have seen stack overflow and have tried out the solutions but for my project, it is not fast enough. Is there any other way I can access the “values” in these parent nodes? Regards Surya Dheeshjith

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SVM-RFE with scoring = 'f1'
by Malik Yousef Aug. 24, 2019

Aug. 24, 2019

Hello When in using the scoring to be 'f1' then i get an error. Here is the code and the error X=data y=target_column classifier = LinearSVC() rfecv = RFECV(estimator=classifier, step=0.1, cv=StratifiedKFold(5),scoring='f1') rfecv.fit(X, y) The error is : ValueError: pos_label=1 is not a valid label: array([u'c.pre', u'n.pre'], dtype='<U5') Please your help (I'm new to using scikit-leanr) --------------------------------------------------------------------------------------- *Prof. Malik Yousef , Associate Professor * *Zefat Academic College , Department of Information System * Home Page: https://malikyousef.com/ Google Scholar Profile : https://scholar.google.com/citations?user=9UCZ_q4AAAAJ&hl=en&oi=ao ----------------------------------------------------------------------------------------------------

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Any recommend way to encode IP address?
by lampahome Aug. 20, 2019

Aug. 20, 2019

I collect data which has many access log from different IP. But I don't know what's the better way to encode it to make sure small size of train data and keep the independency of different IPs. 1. one-hot encode: If too many IP, the train data will occupy huge disk spaces. 2. category encode: IP will be encoded to 0~N, but can't show the relation between different IPs. anyone have advices?

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Awesome List Announcement
by florian.kromer＠mailbox.org Aug. 17, 2019

Aug. 17, 2019

Just want to let everyone know that there is https://github.com/fkromer/awesome-scikit-learn now which summarizes resources about scikit-learn in an "awesome list" kind of way. Cheers, Florian

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