paired_euclidean_distances#
- 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.])