On 12/05/2011 11:14 PM, Alexandre Gramfort wrote: >> I do not understand. I have the dictionary already, so what is being >> estimated? > well I am not sure to follow now, but if you have the dictionary the > only missing part is the coefs of the decomposition. > > X = dico x coefs I think there is a little misunderstanding here. As I understand Ian, he has estimated a dictionary on some dataset and wants to use this dictionary to encode some "new" data.
You do not need to estimate anything to get the "model". What you do want is to "transform" the new data so that it is coded using the specified dictionary. I think this is exactly what the sparse encoding method that Olivier referenced is doing. Hope I got it right and this clears more things up than confuses. Cheers, Andy ------------------------------------------------------------------------------ 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
