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| author | Rémi Flamary <remi.flamary@gmail.com> | 2022-02-02 11:53:12 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-02-02 11:53:12 +0100 |
| commit | a5e0f0d40d5046a6639924347ef97e2ac80ad0c9 (patch) | |
| tree | dcd35e851ec2cc3f52eedbfa58fb6970664135c9 /examples/plot_OT_2D_samples.py | |
| parent | 71a57c68ea9eb2bc948c4dd1cce9928f34bf20e8 (diff) | |
[MRG] Add weak OT solver (#341)
* add info in release file
* update tests
* pep8
* add weak OT example
* update plot in doc
* correction ewample with empirical sinkhorn
* better thumbnail
* comment from review
* update documenation
Diffstat (limited to 'examples/plot_OT_2D_samples.py')
| -rw-r--r-- | examples/plot_OT_2D_samples.py | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/examples/plot_OT_2D_samples.py b/examples/plot_OT_2D_samples.py index af1bc12..c3a7cd8 100644 --- a/examples/plot_OT_2D_samples.py +++ b/examples/plot_OT_2D_samples.py @@ -42,7 +42,6 @@ a, b = np.ones((n,)) / n, np.ones((n,)) / n # uniform distribution on samples # loss matrix M = ot.dist(xs, xt) -M /= M.max() ############################################################################## # Plot data @@ -87,7 +86,7 @@ pl.title('OT matrix with samples') #%% sinkhorn # reg term -lambd = 1e-3 +lambd = 1e-1 Gs = ot.sinkhorn(a, b, M, lambd) @@ -112,7 +111,7 @@ pl.show() #%% sinkhorn # reg term -lambd = 1e-3 +lambd = 1e-1 Ges = ot.bregman.empirical_sinkhorn(xs, xt, lambd) |