2011/10/7 Mathieu Blondel <[email protected]>: > By the way, I suspect that that predict method is also sub-optimal > because, since the support vectors and the coefficients are stored in > numpy arrays or scipy matrices, predict has to make the conversion to > liblinear's model structure at every call. This is the price that we > currently pay for picklability. However, predict is very simple to > implement in pure-numpy so I think we should stop using the native > library altogether for prediction.
+1 -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of 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-d2dcopy2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
