2011/12/5 Alexandre Gramfort <[email protected]>: >> One experiment I want to do involves plugging in dictionaries that >> were learned with other methods. > > if you have the dictionaries then use a batch lasso or batch OMP with > precomputed gram to get the coefficients. That will give you the full > estimated model.
There are slightly higher level utility functions too here: http://scikit-learn.org/dev/modules/generated/sklearn.decomposition.sparse_encode.html http://scikit-learn.org/dev/modules/generated/sklearn.decomposition.sparse_encode_parallel.html -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
