sklearn.metrics.pairwise.paired_cosine_distances

sklearn.metrics.pairwise.paired_cosine_distances(X, Y)

Compute the paired cosine distances between X and Y.

Read more in the User Guide.

Parameters:

X{array-like, sparse matrix} of shape (n_samples, n_features)

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

Y{array-like, sparse matrix} 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.