Joel, Your explanation helped me understand it.
Thanks! 2017-01-02 19:10 GMT-02:00 Joel Nothman <[email protected]>: > 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.KNeigh >> borsClassifier.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 list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn > >
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