Re: [Scikit-learn-general] Adjusted R square functions + limitations/ recommendations

Hi, If you want to help us to improve the existing documentation or to add new functionalities, you are highly welcomed to submit a pull request. See [1] for the contributor guideline. Best regards, Arnaud Joly [1] https://github.com/scikit-learn/scikit-learn/blob/master/CONTRIBUTING.md Le 1

Re: [Scikit-learn-general] Easy way to handle .arff files in sklearn?

Hi, Whenever I have to deal with the .arff format, I convert the data into a libsvm format using Weka. The scipy arff loader doesn't handle the sparse arff format. Then I use sklearn.datasets.load_svmlight_file function or its faster counterpart in https://github.com/mblondel/svmlight-loader. Ho

Re: [Scikit-learn-general] Multilabel questions

You should also be aware that the current metrics module doesn't handle multilabels correctly. The following pr https://github.com/scikit-learn/scikit-learn/pull/1606 might interest you. It had for multi-labels support for some metrics. Best regards, Arnaud Joly Le 23/01/2013 18:44, Andreas Muel

Re: [Scikit-learn-general] ANN: scikit-learn 0.13 released!

Well done !!! Arnaud Le 22/01/2013 08:26, Gilles Louppe a écrit : > Great job to all of you :) > > Gilles > > On 22 January 2013 07:57, Peter Prettenhofer > wrote: >> Great work guys - especially Andy - thanks a lot for making this happen! >> >> best, >> Peter >> >> 2013/1/22 Gael Varoquaux :

Re: [Scikit-learn-general] Block sparse Bayesian learning algorithm in python

Hi, There is the orthogonal matching pursuit algorithm (an another CS algorithm) in scikit-learn which is classified as a regression model. The notations are a bit different from the CS community. Arnaud Joly Le 28/11/2012 08:38, liubeny...@gmail.com a écrit : Hi Meng: It is a compressive se