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| author | Nicolas Courty <Nico@pc-mna-08.univ-ubs.fr> | 2017-09-12 18:07:17 +0200 |
|---|---|---|
| committer | Nicolas Courty <Nico@pc-mna-08.univ-ubs.fr> | 2017-09-12 18:07:17 +0200 |
| commit | 36bf599552ff15d1ca1c6b505507e65a333fa55e (patch) | |
| tree | 8d508e9800bffef8c008c0872e46081c423d75dd /examples/plot_gromov.py | |
| parent | 8ea74ad41d660629a12f7d8d0d8816a23d385a92 (diff) | |
Corrections on Gromov
Diffstat (limited to 'examples/plot_gromov.py')
| -rw-r--r-- | examples/plot_gromov.py | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/examples/plot_gromov.py b/examples/plot_gromov.py index 92312ae..0f839a3 100644 --- a/examples/plot_gromov.py +++ b/examples/plot_gromov.py @@ -22,8 +22,9 @@ import ot """
Sample two Gaussian distributions (2D and 3D)
=============================================
-The Gromov-Wasserstein distance allows to compute distances with samples that do not belong to the same metric space.
-For demonstration purpose, we sample two Gaussian distributions in 2- and 3-dimensional spaces.
+The Gromov-Wasserstein distance allows to compute distances with samples that
+do not belong to the same metric space. For demonstration purpose, we sample
+two Gaussian distributions in 2- and 3-dimensional spaces.
"""
n_samples = 30 # nb samples
|