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| author | tlacombe <lacombe1993@gmail.com> | 2020-03-31 18:08:05 +0200 |
|---|---|---|
| committer | tlacombe <lacombe1993@gmail.com> | 2020-03-31 18:08:05 +0200 |
| commit | af76331b5b4c709f46a3d705320bfedcf3a60924 (patch) | |
| tree | 5ebc4c0c9e02a10456c537517e6dbf94e29bbb92 | |
| parent | 266f1eb706ecf31733acbcdded3b04d8d270fb60 (diff) | |
correction typo user.rst
| -rw-r--r-- | src/python/doc/wasserstein_distance_user.rst | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/python/doc/wasserstein_distance_user.rst b/src/python/doc/wasserstein_distance_user.rst index a077f9a4..c6d49db1 100644 --- a/src/python/doc/wasserstein_distance_user.rst +++ b/src/python/doc/wasserstein_distance_user.rst @@ -128,7 +128,7 @@ per diagram). Basic example ------------- -This example computes the Frechet mean (aka Wasserstein barycenter) between +This example estimates the Frechet mean (aka Wasserstein barycenter) between four persistence diagrams. It is initialized on the 4th diagram. As the algorithm is not convex, its output depends on the initialization and @@ -143,7 +143,7 @@ Note that persistence diagrams must be submitted as .. testcode:: - import gudhi.barycenter + from gudhi.wasserstein.barycenter import lagrangian_barycenter import numpy as np dg1 = np.array([[0.2, 0.5]]) @@ -151,7 +151,7 @@ Note that persistence diagrams must be submitted as dg3 = np.array([[0.3, 0.6], [0.7, 0.8], [0.2, 0.3]]) dg4 = np.array([]) pdiagset = [dg1, dg2, dg3, dg4] - bary = gudhi.wasserstein.barycenter.lagrangian_barycenter(pdiagset=pdiagset,init=3) + bary = lagrangian_barycenter(pdiagset=pdiagset,init=3) message = "Wasserstein barycenter estimated:" print(message) |