Re: [Scikit-learn-general] Failing nose tests related to images

Hi Lars, Thanks very much. I also came to the same conclusion, but after following the instructions from zeantsoi for the OSX environment, I receive the same errors. It's reassuring to know I won't need these unless I do image processing, though. Thanks again, Harold On May 15, 2013, at 12:20

Re: [Scikit-learn-general] Failing nose tests related to images

2013/5/15 Administrator : > File "/usr/local/lib/python2.7/site-packages/PIL/Image.py", line 401, in > _getencoder > raise IOError("encoder %s not available" % encoder_name) > IOError: encoder jpeg not available Looks like an error in your PIL installation. More details at SO: http://stacko

Re: [Scikit-learn-general] Some questions about PCA class

Thanks Gael. So in the example: http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.svd.html then error is induced upon reconstruction, and not from the SVD per se? On Wed, May 15, 2013 at 3:14 PM, Gael Varoquaux < gael.varoqu...@normalesup.org> wrote: > On Wed, May 15, 2013 at 0

Re: [Scikit-learn-general] Some questions about PCA class

On Wed, May 15, 2013 at 03:11:46PM -0400, Adam Hughes wrote: > I noticed in the PCA class methods fit() and fit_transform(), there is a > keyword option "y=none" that is never actually used.  I was curious why this > is, but it's not all the important. Because methods should have the same signatur

[Scikit-learn-general] Some questions about PCA class

Hi, I am interfacing the PCA class from scikits-learn into a package I'm writing that uses a numpy datastructure and have a few questions about its implementation. I noticed in the PCA class methods fit() and fit_transform(), there is a keyword option "y=none" that is never actually used. I was

[Scikit-learn-general] Failing nose tests related to images

Hi scikit-learn experts, I'm just starting out with scikit-learn, and I was wondering if anyone was familiar with the following failed tests from nose. It seems to be related to images, and my environment is Mac OS X 10.7. I appreciate any insight you can give! Thank you, Harold $ nosetests

Re: [Scikit-learn-general] Metric Learning Algorithms

Okay, git project for metric learning created at: https://github.com/johncollins/metric-learn On Wed, May 15, 2013 at 6:56 AM, < scikit-learn-general-requ...@lists.sourceforge.net> wrote: > Send Scikit-learn-general mailing list submissions to > scikit-learn-general@lists.sourceforge.ne

Re: [Scikit-learn-general] Metric Learning Algorithms

Perhaps a separate github project might be easiest.. Less headachey than doing it with one branch and others PR-ing to it. At least that was the case when I tried. 2013/5/15 Robert McGibbon > John, > > What's the best way to work on a collaborative project like this? I've > never tried working

Re: [Scikit-learn-general] Macro and micro weighting in performance metrics

Ok, so in order to get an averaging (in a binary classification), one must give `pos_label = None`, like this: metrics.f1_score(y_true, y_predicted, average='macro', pos_label=None) This is not very clear in the comments. In any case, it maybe coding/organizing style, because I would rather

[Scikit-learn-general] Matching Pursuit Toolkit (MPTK) 0.7 released

Dear all, Matching Pursuit Toolkit (MPTK) is a fast and efficient library for the sparse decomposition of multichannel audio signals. Version 0.7 is now officially released: https://gforge.inria.fr/frs/?group_id=36 New in this version is a Python wrapper, so you can decompose/reconstruct sign