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author | Kilian Fatras <kilianfatras@dhcp-206-12-53-20.eduroam.wireless.ubc.ca> | 2018-08-28 17:24:07 -0700 |
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committer | Kilian Fatras <kilianfatras@dhcp-206-12-53-20.eduroam.wireless.ubc.ca> | 2018-08-28 17:24:07 -0700 |
commit | e885d78cc9608d791a9d1561d2f4e0b783ba0761 (patch) | |
tree | e03a553873f110d1b8e0f15cc6f9248c916a405c /test/test_optim.py | |
parent | 77b68901c5415ddc5d9ab5215a6fa97723de3de9 (diff) |
debug sgd dual
Diffstat (limited to 'test/test_optim.py')
-rw-r--r-- | test/test_optim.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/test/test_optim.py b/test/test_optim.py index 69496a5..dfefe59 100644 --- a/test/test_optim.py +++ b/test/test_optim.py @@ -16,8 +16,8 @@ def test_conditional_gradient(): x = np.arange(n_bins, dtype=np.float64) # Gaussian distributions - a = ot.datasets.get_1D_gauss(n_bins, m=20, s=5) # m= mean, s= std - b = ot.datasets.get_1D_gauss(n_bins, m=60, s=10) + a = ot.datasets.make_1D_gauss(n_bins, m=20, s=5) # m= mean, s= std + b = ot.datasets.make_1D_gauss(n_bins, m=60, s=10) # loss matrix M = ot.dist(x.reshape((n_bins, 1)), x.reshape((n_bins, 1))) @@ -45,8 +45,8 @@ def test_generalized_conditional_gradient(): x = np.arange(n_bins, dtype=np.float64) # Gaussian distributions - a = ot.datasets.get_1D_gauss(n_bins, m=20, s=5) # m= mean, s= std - b = ot.datasets.get_1D_gauss(n_bins, m=60, s=10) + a = ot.datasets.make_1D_gauss(n_bins, m=20, s=5) # m= mean, s= std + b = ot.datasets.make_1D_gauss(n_bins, m=60, s=10) # loss matrix M = ot.dist(x.reshape((n_bins, 1)), x.reshape((n_bins, 1))) |