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author | Marc Glisse <marc.glisse@inria.fr> | 2020-01-20 16:43:37 +0100 |
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committer | Marc Glisse <marc.glisse@inria.fr> | 2020-01-20 16:43:37 +0100 |
commit | a7f3167ffb465bd6d1e3b9e40bc6f1c35daf87fc (patch) | |
tree | 57884daa7461aea486aa0e5fe2686fce4ca2a182 /src/python/doc/wasserstein_distance_user.rst | |
parent | ef4a688e07e070b190caf267a64fedd607830ee7 (diff) |
Simplify the pybind11 code
Diffstat (limited to 'src/python/doc/wasserstein_distance_user.rst')
-rw-r--r-- | src/python/doc/wasserstein_distance_user.rst | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/src/python/doc/wasserstein_distance_user.rst b/src/python/doc/wasserstein_distance_user.rst index 6cd7f3a0..355ad247 100644 --- a/src/python/doc/wasserstein_distance_user.rst +++ b/src/python/doc/wasserstein_distance_user.rst @@ -11,8 +11,9 @@ Definition Functions --------- -This implementation is based on ideas from "Large Scale Computation of Means -and Cluster for Persistence Diagrams via Optimal Transport". +This implementation uses the Python Optimal Transport library and is based on +ideas from "Large Scale Computation of Means and Cluster for Persistence +Diagrams via Optimal Transport". .. autofunction:: gudhi.wasserstein.wasserstein_distance |