[Scikit-learn-general] Update website "Comparison of LDA and PCA 2D projection of Iris dataset"

Hi, just saw that scikit-learn 15.2.0 is out and the LDA was fixed. That's great :). Now, the article at http://scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html just needs an plot update :). I couldn't find the containing folder for the image in the scikit-repo. I suppos

[Scikit-learn-general] scikit-learn 0.15.2 is out!

Hi all, I just released 0.15.2. The source and binary packages for this release are on PyPi as usual: https://pypi.python.org/pypi/scikit-learn/0.15.2 The website has the change log: http://scikit-learn.org/stable/whats_new.html#changes-0-15-2 (I am re-running optipng on all of it and will aut

[Scikit-learn-general] Changing background colors for website

I have copped and heavily modified the website for use on another project ( https://github.com/sklearn-theano/sklearn-theano), and I would like to change the color scheme. Does anyone with experience modifying the website know how to do this? Is there an easier way besides hand modifying the css? M

Re: [Scikit-learn-general] one-class SVM with limited number of samples

I guess my question was mostly about how gridsearch works with oneclass SVM since once-class SVM does not take into account for labels Thank you, From: Pagliari, Roberto [mailto:[email protected]] Sent: Friday, September 05, 2014 1:36 PM To: [email protected] Subj

[Scikit-learn-general] one-class SVM with limited number of samples

I am trying to train the one-class SVM. According to libSVM Q: How do I choose parameters for one-class SVM as training data are in only one class? You have pre-specified true positive rate in mind and then search for parameters which achieve similar cross-validation accuracy. But the one-class

Re: [Scikit-learn-general] Multi-target regression

I the case of LinearRegression independent models are being fit for each response. But this is not the case for every multi-response estimator. Afaik, the multi response regression forests in sklearn will consider the correlation between features. -- Flavio On Fri, Sep 5, 2014 at 11:03 AM, Philip

[Scikit-learn-general] Multi-target regression

Hey! I am currently working with data having multiple outcome variables. So for example, my outcome I want to predict can be of multiple dimension. One line of the data could look like the following: y = [10, 15] x = [13, 735478, 0.555, …] So I want to predict all dimensions of the outcome.

Re: [Scikit-learn-general] Print coordinate descent coefficients at each iteration

Hi, I'm making a wild guess that it must be some sort of indentation problem. I've run into this problem before, when I realized I was off by four spaces. I'm not sure anything else can explain it. -- Slashdot TV. Video