maxframe.learn.metrics.pairwise.manhattan_distances#

maxframe.learn.metrics.pairwise.manhattan_distances(X, Y=None)[source]#

Compute the L1 distances between the vectors in X and Y.

Read more in the User Guide.

Parameters:

  • X (array_like) – A tensor with shape (n_samples_X, n_features).

  • Y (array_like, optional) – A tensor with shape (n_samples_Y, n_features).

Returns:

D – Shape is (n_samples_X, n_samples_Y) and D contains the pairwise L1 distances.

Return type:

Tensor

Examples

>>> from maxframe.learn.metrics.pairwise import manhattan_distances
>>> manhattan_distances([[3]], [[3]]).execute()
array([[0.]])
>>> manhattan_distances([[3]], [[2]]).execute()
array([[1.]])
>>> manhattan_distances([[2]], [[3]]).execute()
array([[1.]])
>>> manhattan_distances([[1, 2], [3, 4]],         [[1, 2], [0, 3]]).execute()
array([[0., 2.],
       [4., 4.]])