paired_euclidean_distances (original) (raw)

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

Compute the paired euclidean distances between X and Y.

Read more in the User Guide.

Parameters:

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

Input array/matrix X.

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

Input array/matrix Y.

Returns:

distancesndarray of shape (n_samples,)

Output array/matrix containing the calculated paired euclidean distances.

Examples

from sklearn.metrics.pairwise import paired_euclidean_distances X = [[0, 0, 0], [1, 1, 1]] Y = [[1, 0, 0], [1, 1, 0]] paired_euclidean_distances(X, Y) array([1., 1.])