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| author | Rémi Flamary <remi.flamary@gmail.com> | 2018-06-11 12:01:27 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2018-06-11 12:01:27 +0200 |
| commit | ef17fcd2d5e85b986ff21d8039483bdaf03e37da (patch) | |
| tree | 25cf5915a26273b3e0726494ed4a1405ce1e2786 /examples/plot_optim_OTreg.py | |
| parent | 8046b8c424d7b80f520e212e2bf8de41cb624aab (diff) | |
| parent | 530dc93a60e9b81fb8d1b44680deea77dacf660b (diff) | |
Merge branch 'master' into smooth_ot
Diffstat (limited to 'examples/plot_optim_OTreg.py')
| -rw-r--r-- | examples/plot_optim_OTreg.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/examples/plot_optim_OTreg.py b/examples/plot_optim_OTreg.py index 92df016..2c58def 100644 --- a/examples/plot_optim_OTreg.py +++ b/examples/plot_optim_OTreg.py @@ -42,8 +42,8 @@ n = 100 # nb bins x = np.arange(n, dtype=np.float64) # Gaussian distributions -a = ot.datasets.get_1D_gauss(n, m=20, s=5) # m= mean, s= std -b = ot.datasets.get_1D_gauss(n, m=60, s=10) +a = ot.datasets.make_1D_gauss(n, m=20, s=5) # m= mean, s= std +b = ot.datasets.make_1D_gauss(n, m=60, s=10) # loss matrix M = ot.dist(x.reshape((n, 1)), x.reshape((n, 1))) |