[scikit-learn] KNeighborsClassifier and metric='precomputed'

[Joel Nothman]

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 <pedropazzini at gmail.com> 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.KNe
> ighborsClassifier.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
>
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