# sklearn.metrics.pairwise.paired_cosine_distances¶

sklearn.metrics.pairwise.paired_cosine_distances(X, Y)[source]

Compute the paired cosine distances between X and Y.

Read more in the User Guide.

Parameters
Xarray-like of shape (n_samples, n_features)

An array where each row is a sample and each column is a feature.

Yarray-like of shape (n_samples, n_features)

An array where each row is a sample and each column is a feature.

Returns
distancesndarray of shape (n_samples,)

Returns the distances between the row vectors of X and the row vectors of Y, where distances[i] is the distance between X[i] and Y[i].

Notes

The cosine distance is equivalent to the half the squared euclidean distance if each sample is normalized to unit norm.