sklearn.metrics.pairwise.cosine_distances

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

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