2011/12/5 Ian Goodfellow <[email protected]>: > On Mon, Dec 5, 2011 at 4:50 PM, Alexandre Gramfort > <[email protected]> wrote: >>> 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. > > I do not understand. I have the dictionary already, so what is being > estimated?
The loadings. - original data matrix has shape (n_samples, n_features) - dictionary has shape (n_components, n_features) - loadings matrix has shape (n_samples, n_components) The loadings are the results of the sparse encoded samples in the dictionary space. -- 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
