On Thu, May 15, 2014 at 12:56:09AM -0500, Kyle Kastner wrote: > #Broken? > X = np.random.randn(100, 64) > D = np.random.randn(2, 64) > sparse_encode(X, D, algorithm='omp', n_nonzero_coefs=None)
After a quick glance, could it be that with a dimension of 2, n_nonzero_coefs, which defaults to int(.1 * n_features) is zero? When I put it manually to 1, this work. This parameter is what I believe would control 'k' in a K-SVD. I am a bit surprised that you are leaving it to its default value. HTH, Gaël ------------------------------------------------------------------------------ "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE Instantly run your Selenium tests across 300+ browser/OS combos. Get unparalleled scalability from the best Selenium testing platform available Simple to use. Nothing to install. Get started now for free." http://p.sf.net/sfu/SauceLabs _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
