sklearn.metrics.pairwise.paired_cosine_distances — scikit-learn 0.20.4 documentation (original) (raw)
sklearn.metrics.pairwise. paired_cosine_distances(X, Y)[source]¶
Computes the paired cosine distances between X and Y
Read more in the User Guide.
| Parameters: | X : array-like, shape (n_samples, n_features) Y : array-like, shape (n_samples, n_features) |
|---|---|
| Returns: | distances : ndarray, shape (n_samples, ) |
Notes
The cosine distance is equivalent to the half the squared euclidean distance if each sample is normalized to unit norm