It says 0.15.0 Right now I am finding the optimal values manually, using cross_validation (by picking the best average).
-----Original Message----- From: Lars Buitinck [mailto:[email protected]] Sent: Wednesday, July 23, 2014 2:29 PM To: scikit-learn-general Subject: Re: [Scikit-learn-general] GridSearchVC with SVM 2014-07-23 18:21 GMT+02:00 Pagliari, Roberto <[email protected]>: > Is there a way to make prediction, once grid search is done? Right now > I’m getting the error > > 'GridSearchCV' object has no attribute 'best_estimator_' Works fine here. What does `python -c 'import sklearn; print(sklearn.__version__)` say? ------------------------------------------------------------------------------ Want fast and easy access to all the code in your enterprise? Index and search up to 200,000 lines of code with a free copy of Black Duck Code Sight - the same software that powers the world's largest code search on Ohloh, the Black Duck Open Hub! Try it now. http://p.sf.net/sfu/bds _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Want fast and easy access to all the code in your enterprise? Index and search up to 200,000 lines of code with a free copy of Black Duck Code Sight - the same software that powers the world's largest code search on Ohloh, the Black Duck Open Hub! Try it now. http://p.sf.net/sfu/bds _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
