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| author | Rémi Flamary <remi.flamary@gmail.com> | 2020-04-24 12:39:38 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2020-04-24 12:39:38 +0200 |
| commit | 53b063ed6b6aa15d6cb103a9304bbd169678b2e9 (patch) | |
| tree | 33f75e733e1f93c07a5d37f72f085c9722bf19c7 /test/test_stochastic.py | |
| parent | 46523dc0956fd17e709f958ebd351e748fca0a23 (diff) | |
better coverage options verbose and log
Diffstat (limited to 'test/test_stochastic.py')
| -rw-r--r-- | test/test_stochastic.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/test/test_stochastic.py b/test/test_stochastic.py index f0f3fc8..8ddf485 100644 --- a/test/test_stochastic.py +++ b/test/test_stochastic.py @@ -70,8 +70,8 @@ def test_stochastic_asgd(): M = ot.dist(x, x) - G = ot.stochastic.solve_semi_dual_entropic(u, u, M, reg, "asgd", - numItermax=numItermax) + G, log = ot.stochastic.solve_semi_dual_entropic(u, u, M, reg, "asgd", + numItermax=numItermax, log=True) # check constratints np.testing.assert_allclose( @@ -145,8 +145,8 @@ def test_stochastic_dual_sgd(): M = ot.dist(x, x) - G = ot.stochastic.solve_dual_entropic(u, u, M, reg, batch_size, - numItermax=numItermax) + G, log = ot.stochastic.solve_dual_entropic(u, u, M, reg, batch_size, + numItermax=numItermax, log=True) # check constratints np.testing.assert_allclose( |