mars.learn.metrics.pairwise.cosine_distances#

mars.learn.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 – A tensor with shape (n_samples_X, n_samples_Y).

Return type

Tensor

See also

mars.learn.metrics.pairwise.cosine_similarity

mars.tensor.spatial.distance.cosine

dense matrices only