On Thu, Nov 17, 2011 at 10:03 PM, Alexandre Passos <[email protected]> wrote:
> What do you mean by regularize weight here? Do an L1 truncation? Yes. For L2-regularization, doing the regularization before or after the prediction doesn't change the sign of the prediction (as L2 regularization just needs to multiply the weight vector with a scalar) but it should change the induced loss (and the gradient) so I guess the order in which you do the steps should still changes the results. I will try both settings and see if it has an actual impact. Mathieu ------------------------------------------------------------------------------ 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
