[Scikit-learn-general] Small extension to Gaussian Processes

Hello everyone, I wasn't sure if I should send an email, but I put in a merge request about 3 weeks ago for a minor change to the Gaussian Processes module. I was wondering if anyone cared to discuss it. I'm sending this mail because I thought I read somewhere that people didn't read another maili

[Scikit-learn-general] Failing tests

Hi, Is the master branch on Github supposed to pass all tests? I get one error and two failed tests: == ERROR: Ensures that checks return valid sparse matrices.

[Scikit-learn-general] MultiTaskElasticNet (and Lasso) CV?

Hello, I was working on this issue https://github.com/scikit-learn/scikit-learn/issues/2402 and had submitted this PR https://github.com/scikit-learn/scikit-learn/pull/2590 . Since in this PR, I tried doing it under ElasticNetCV itself, according to the suggestions of agramfort, one has to cross-

[Scikit-learn-general] Multidimensional scaling Euclidean vs SpatialDistance issue precision

Hello guys, some basic issue here with multi dimensional scaling: mds = manifold.MDS(n_components=3, max_iter=1, eps=0.0001, n_jobs=4,dissimilarity='precomputed') similarities1 = euclidean_distances(sub_corpus) similarities2 = scipy.spatial.distance_matrix(sub_corpus,sub_corpus) print numpy.

Re: [Scikit-learn-general] adding contextual learning references to skl documentation

The metacademy project seems very interesting but I feel that it is not yet mature enough to be considered a de-facto reference to link to. In particular I think there are major concepts still missing. For instance for the AdaBoost entry you mention, one might have expected to have links to relate