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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 /test/test_bregman.py | |
| parent | 8046b8c424d7b80f520e212e2bf8de41cb624aab (diff) | |
| parent | 530dc93a60e9b81fb8d1b44680deea77dacf660b (diff) | |
Merge branch 'master' into smooth_ot
Diffstat (limited to 'test/test_bregman.py')
| -rw-r--r-- | test/test_bregman.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/test/test_bregman.py b/test/test_bregman.py index 4a800fd..c8e9179 100644 --- a/test/test_bregman.py +++ b/test/test_bregman.py @@ -83,8 +83,8 @@ def test_bary(): n_bins = 100 # nb bins # Gaussian distributions - a1 = ot.datasets.get_1D_gauss(n_bins, m=30, s=10) # m= mean, s= std - a2 = ot.datasets.get_1D_gauss(n_bins, m=40, s=10) + a1 = ot.datasets.make_1D_gauss(n_bins, m=30, s=10) # m= mean, s= std + a2 = ot.datasets.make_1D_gauss(n_bins, m=40, s=10) # creating matrix A containing all distributions A = np.vstack((a1, a2)).T @@ -110,10 +110,10 @@ def test_unmix(): n_bins = 50 # nb bins # Gaussian distributions - a1 = ot.datasets.get_1D_gauss(n_bins, m=20, s=10) # m= mean, s= std - a2 = ot.datasets.get_1D_gauss(n_bins, m=40, s=10) + a1 = ot.datasets.make_1D_gauss(n_bins, m=20, s=10) # m= mean, s= std + a2 = ot.datasets.make_1D_gauss(n_bins, m=40, s=10) - a = ot.datasets.get_1D_gauss(n_bins, m=30, s=10) + a = ot.datasets.make_1D_gauss(n_bins, m=30, s=10) # creating matrix A containing all distributions D = np.vstack((a1, a2)).T |