That would be most helpful. Maybe also explain the logic? On Tue, 3 Jan 2017 at 18:19 Andy <[email protected]> wrote:
> Should probably be called n_samples_train? > > > On 01/02/2017 04:10 PM, Joel Nothman wrote: > > n_indexed means the number of samples in the X passed to fit. It needs to > be able to compare each prediction sample with each training sample. > > On 3 January 2017 at 07:44, Pedro Pazzini <[email protected]> wrote: > > Hi all! > > I'm trying to use a KNeighborsClassifier with precomputed metric. In it's > predict method (http://scikit-learn.org/stable/modules/generated/sklearn > .neighbors.KNeighborsClassifier.html#sklearn.neighbors. > KNeighborsClassifier.predict) it says the input should be: > > "(n_query, n_indexed) if metric == ‘precomputed’" > > What is n_indexed? > > Shouldn't the shape of the input in the predict method be > (n_query,n_query)? > > How can I use the predict method after fitting the classifier with a > distance matrix? > > Regards, > Pedro Pazzini > > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn > > > > > _______________________________________________ > scikit-learn mailing > [email protected]https://mail.python.org/mailman/listinfo/scikit-learn > > > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn >
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