sklearn.metrics.pairwise.cosine_distances¶
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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).