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]
<mailto:[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/
<http://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] <mailto:[email protected]>
https://mail.python.org/mailman/listinfo/scikit-learn
<https://mail.python.org/mailman/listinfo/scikit-learn>
_______________________________________________
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
