Hi, The default score used by GridSearchCV is the one of the estimator; for KernelDensity it’s the total log likelihood.
As far as I know it is not possible to have different bandwidths. Albert On Mon 8 Jul 2019 at 15:50, Naiping Dong <np.dong...@gmail.com> wrote: > How sklearn perform cross validation "GridSearchCV" for bandwidth > selection? It seems that the CV for kernel density estimation is different > with the one used for classification. Is it used least square errors for > this aim? > > Second, is it possible for me to use variable bandwidth for kernel density > estimation, that is, use different bandwidth for different data point? > > Thanks. > -- > Elkan > Department of Chemistry, HKU, HK > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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