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authorMarc Glisse <marc.glisse@inria.fr>2020-02-08 17:39:05 +0100
committerMarc Glisse <marc.glisse@inria.fr>2020-02-08 17:39:05 +0100
commitb75123eeda446e7f778d4939da67a78e4c8c6abc (patch)
tree70c38534a978c23b6f9b9fe0cc90de555d7c2919 /src/python/gudhi
parent458ee3e95c752f09058d933349851c8a3a730cad (diff)
Euclidean with a capital E
Diffstat (limited to 'src/python/gudhi')
-rw-r--r--src/python/gudhi/wasserstein.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/gudhi/wasserstein.py b/src/python/gudhi/wasserstein.py
index b1cfd588..13102094 100644
--- a/src/python/gudhi/wasserstein.py
+++ b/src/python/gudhi/wasserstein.py
@@ -67,7 +67,7 @@ def wasserstein_distance(X, Y, order=2., internal_p=2.):
:param X: (n x 2) numpy.array encoding the (finite points of the) first diagram. Must not contain essential points (i.e. with infinite coordinate).
:param Y: (m x 2) numpy.array encoding the second diagram.
:param order: exponent for Wasserstein; Default value is 2.
- :param internal_p: Ground metric on the (upper-half) plane (i.e. norm L^p in R^2); Default value is 2 (euclidean norm).
+ :param internal_p: Ground metric on the (upper-half) plane (i.e. norm L^p in R^2); Default value is 2 (Euclidean norm).
:returns: the Wasserstein distance of order q (1 <= q < infinity) between persistence diagrams with respect to the internal_p-norm as ground metric.
:rtype: float
'''