On Wed, Oct 30, 2013 at 12:49:49AM +0100, Vlad Niculae wrote: > Adding "L1" (elementwise) regularization makes L-BFGS-B converge much > quicker. This is cool because for NMF such a penalty has other > advantages.
By the way, the MiniBatchDictLearning can be trivially modified to do this: do a non-negative Lasso, instead of a Lasso. This is discussed in the original paper. G ------------------------------------------------------------------------------ Android is increasing in popularity, but the open development platform that developers love is also attractive to malware creators. Download this white paper to learn more about secure code signing practices that can help keep Android apps secure. http://pubads.g.doubleclick.net/gampad/clk?id=65839951&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
