sklearn.metrics.pairwise.cosine_distances

sklearn.metrics.pairwise.cosine_distances(X, Y=None) [source]

Compute cosine distance between samples in X and Y.

Cosine distance is defined as 1.0 minus the cosine similarity.

Read more in the User Guide.

Parameters:	X : array_like, sparse matrix with shape (n_samples_X, n_features). Y : array_like, sparse matrix (optional) with shape (n_samples_Y, n_features).
Returns:	distance matrix : array An array with shape (n_samples_X, n_samples_Y).

See also

sklearn.metrics.pairwise.cosine_similarity, scipy.spatial.distance.cosine