Mailman 3 February 2017 - scikit-learn

10 years of Scikit-learn
by Alekh Karkada Ashok Feb. 4, 2017

Feb. 4, 2017

Hi all! 2017 marks the 10th year of Scikit-learn (started as a GSoC project in 2007). Can we do anything to celebrate? Perhaps a sticker on the website? or T-shirts commemorating this? Thank you!

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PC Desktop requirement for Machine Learning
by Raga Markely Feb. 4, 2017

Feb. 4, 2017

Hello, I am planning to buy office PC desktop for machine learning work. I wonder if you could provide some recommendation on the computer specs and brand? I don't need cloud capacity, just a standalone, but powerful desktop.. to simplify, let's ignore the price.. i can scale down according to budget as appropriate later.. Just to give a rough ballpark, I ran repeated nested loop (50 outer repeats x 50 inner repeats, ~35 data points, <10 features) with different classification algorithms (Logistic Regressions, KNN, SVC, Kernel SVC, Random Forest) on lightweight office laptop, and as expected, it took a very long time to complete (it finished during the time I left overnight). I would like to be able to complete this in a few mins or less maybe? :D.. so that I can quickly assess and modify the code as necessary .. In the long run, I will also need to do regressions and may use larger data sets (up to 10^4 data points order of magnitude)... I guess this is a very vague question, but I will take any tips and suggestions. Thank you! Raga

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Linear Discriminant Analysis - The priors do not sum to 1. Renormalizing"
by Raga Markely Feb. 4, 2017

Feb. 4, 2017

Hello, I ran LDA for dimensionality reduction, and got the following message on the command prompt (not on the Jupyter Notebook): "The priors do not sum to 1. Renormalizing", UserWarning If I understand correctly, the prior = sum of y bincount/ len(y)? So, does it mean I am getting this message due to some rounding errors? I wonder how I can check if I make any mistake somewhere? Thank you, Raga

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Does permutation_test_score not output the p_value for statistical significance of the model? Re: scikit-learn Digest, Vol 11, Issue 2
by Afarin Famili Feb. 3, 2017

Feb. 3, 2017

Thank you all for your answers. I am interested in the statistical significance of the model and not the parameters of the model. I thought "permutation_test_score" from scikit-learn and the p_value it returns, work for the purpose of my work. Am I wrong though? Is this function only used for measuring the statistical significance of classifiers and not regression models? Kind regards, Afarin ________________________________________ From: scikit-learn <scikit-learn-bounces+afarin.famili=utsouthwestern.edu(a)python.org> on behalf of scikit-learn-request(a)python.org <scikit-learn-request(a)python.org> Sent: Friday, February 3, 2017 4:47 PM To: scikit-learn(a)python.org Subject: scikit-learn Digest, Vol 11, Issue 2 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. Calculate p-value, the measure of statistical significance, in scikit-learn (Afarin Famili) 2. Re: Calculate p-value, the measure of statistical significance, in scikit-learn (Jacob Vanderplas) 3. Re: Calculate p-value, the measure of statistical significance, in scikit-learn (Michael Eickenberg) 4. Re: Calculate p-value, the measure of statistical significance, in scikit-learn (Stuart Reynolds) ---------------------------------------------------------------------- Message: 1 Date: Fri, 3 Feb 2017 20:53:54 +0000 From: Afarin Famili <Afarin.Famili(a)UTSouthwestern.edu> To: "scikit-learn(a)python.org" <scikit-learn(a)python.org> Subject: [scikit-learn] Calculate p-value, the measure of statistical significance, in scikit-learn Message-ID: <1486155234925.50514(a)UTSouthwestern.edu> Content-Type: text/plain; charset="iso-8859-1" Hi all, I am aiming at calculating the p-value of regression models using scikit-learn, in order to report their statistical significance. Aside from permutation_test_score in scikit-learn, do you have any suggestions for calculating the p-value of the model? Ultimately, I am interested in computing the coefficient of determination, r2 as well as MSE to indicate the performance of the model for those models that were statistically significant. Thank you, Afarin? ? ________________________________ UT Southwestern Medical Center The future of medicine, today.

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