Thanks Olivier. Would you mind elaborating on why having a grid that is
this fine-grained is a problem? Is it because the library runs into
overflow problems? Something else?
Thanks,
Josh
On Wed, Jul 10, 2013 at 1:29 PM, Olivier Grisel <olivier.gri...@ensta.org>wrote:
> 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
>
>
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