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| author | Rémi Flamary <remi.flamary@gmail.com> | 2016-11-07 16:51:42 +0100 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2016-11-07 16:51:42 +0100 |
| commit | 8b41e141e8ce4ad14a458cb363f46d3176644116 (patch) | |
| tree | 84110632f983344feaa757b228c67a1b9c6c3aa1 /examples/demo_OT_1D.py | |
| parent | e485078116660e53b47aa1f7b96288b9b413c3eb (diff) | |
add log and epsilon scaling stabilizations
Diffstat (limited to 'examples/demo_OT_1D.py')
| -rw-r--r-- | examples/demo_OT_1D.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/examples/demo_OT_1D.py b/examples/demo_OT_1D.py index 6eaa2ff..df65a60 100644 --- a/examples/demo_OT_1D.py +++ b/examples/demo_OT_1D.py @@ -19,8 +19,8 @@ n=100 # nb bins x=np.arange(n,dtype=np.float64) # Gaussian distributions -a=gauss(n,m=20,s=20) # m= mean, s= std -b=gauss(n,m=60,s=60) +a=gauss(n,m=20,s=5) # m= mean, s= std +b=gauss(n,m=60,s=10) # loss matrix M=ot.dist(x.reshape((n,1)),x.reshape((n,1))) |