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author | tlacombe <lacombe1993@gmail.com> | 2021-04-28 10:56:45 +0200 |
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committer | tlacombe <lacombe1993@gmail.com> | 2021-04-28 10:56:45 +0200 |
commit | 9e59ca4f4497969ae6d159407e913c31dba7d6c5 (patch) | |
tree | 704f2f10465299c3e66e1f41afe60b9156f10c16 /src | |
parent | e498bc8f838ab0cc433f9f67206088064b52b6fa (diff) |
enhancing the doc2
Diffstat (limited to 'src')
-rw-r--r-- | src/python/gudhi/wasserstein/wasserstein.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/gudhi/wasserstein/wasserstein.py b/src/python/gudhi/wasserstein/wasserstein.py index 5196b280..dc18806e 100644 --- a/src/python/gudhi/wasserstein/wasserstein.py +++ b/src/python/gudhi/wasserstein/wasserstein.py @@ -226,7 +226,7 @@ def wasserstein_distance(X, Y, matching=False, order=1., internal_p=np.inf, enab :param matching: if ``True``, computes and returns the optimal matching between X and Y, encoded as a (n x 2) np.array [...[i,j]...], meaning the i-th point in X is matched to the j-th point in Y, with the convention that (-1) represents the diagonal. - :param order: Wasserstein exponent W_q + :param order: Wasserstein exponent q (1 <= q < infinity). :type order: float :param internal_p: Ground metric on the (upper-half) plane (i.e. norm L^p in R^2). :type internal_p: float |