On Mon, Dec 5, 2011 at 9:05 PM, xinfan meng <[email protected]> wrote: > I understand that the LogisticRegression would be similar to LinearSVC in > terms of performance. However, I am repeating other person's experiment. > Still, Thank you.
Paolo Losi has some code that implements Platt's method (internally used by libsvm) in a general fashion: https://github.com/paolo-losi/scikit-learn/blob/calibration/scikits/learn/calibration/platt.py It's not merged in scikit-learn yet so I guess you can copy-paste the code for now. 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
