2013/12/5 abdalrahman eweiwi <abdalrahman.ewe...@gmail.com>: > Hi, > > I have a problem of getting GridSearchCV working with kpls for fine tunning > its parameters. I have reviewed the documentation for how to get a new > estimator work with GridSearchCV but I did not find enough information > there. I pursued myself on this but finally I got stuck with a problem > related to multi-class labels and the cross validation. As cross-validation > randomly subsample from all the data, it may take distinct number of classes > at each iteration, but I need the sampler to get random samples for each > class so that all classes are represented at each iteration. Is there a way > to go around this problem?
You should not have the problem if you use StratifiedKFold (the default for classification) or StratifiedShuffleSplit. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Sponsored by Intel(R) XDK Develop, test and display web and hybrid apps with a single code base. Download it for free now! http://pubads.g.doubleclick.net/gampad/clk?id=111408631&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
