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
- Xarray_like, sparse matrix
with shape (n_samples_X, n_features).
- Yarray_like, sparse matrix (optional)
with shape (n_samples_Y, n_features).
- Returns
- distance matrixarray
An array with shape (n_samples_X, n_samples_Y).
See also
sklearn.metrics.pairwise.cosine_similarityscipy.spatial.distance.cosinedense matrices only