2013/7/10 Josh Wasserstein <ribonucle...@gmail.com>: > Thanks Robert and everyone else. I am still having a strange problem with > GridSearchCV with 0.14-git. Even though the number returned by > > =================================== > len(list(ParameterGrid(tuned_parameters))) > =================================== > > is 191,880, my call to: > > =================================== > skf = StratifiedKFold(y,4) > clf = GridSearchCV(SVC(C=1, cache_size=5000), tuned_parameters, > scoring=score_name,verbose=1, n_jobs=1, cv=skf) > clf.fit(X,y) > =================================== > > reports 661,250 jobs after 14 minutes (and it keeps going). Below are the > parameters that I am using:
Well this is to be expected, your grid is very fine-grained: >>> np.arange(-18,18, 0.5).shape (72,) You should really start with a coarse-grained grid with np.logspace or use a RandomizedSearchCV with fixed budget. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ See everything from the browser to the database with AppDynamics Get end-to-end visibility with application monitoring from AppDynamics Isolate bottlenecks and diagnose root cause in seconds. Start your free trial of AppDynamics Pro today! http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
