From 667a2fd3df3670371062924ce3432adccb5667b3 Mon Sep 17 00:00:00 2001 From: Michael Sarahan Date: Thu, 27 Sep 2018 08:44:59 -0500 Subject: [PATCH] reduce precision of almost_equal in test_graph_lasso --- sklearn/covariance/tests/test_graph_lasso.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/sklearn/covariance/tests/test_graph_lasso.py b/sklearn/covariance/tests/test_graph_lasso.py index 8c07536..7c9cb87 100644 --- a/sklearn/covariance/tests/test_graph_lasso.py +++ b/sklearn/covariance/tests/test_graph_lasso.py @@ -47,14 +47,14 @@ def test_graph_lasso(random_state=0): if not alpha == 0: assert_array_less(np.diff(costs), 0) # Check that the 2 approaches give similar results - assert_array_almost_equal(covs['cd'], covs['lars'], decimal=4) - assert_array_almost_equal(icovs['cd'], icovs['lars'], decimal=4) + assert_array_almost_equal(covs['cd'], covs['lars'], decimal=3) + assert_array_almost_equal(icovs['cd'], icovs['lars'], decimal=3) # Smoke test the estimator model = GraphLasso(alpha=.25).fit(X) model.score(X) - assert_array_almost_equal(model.covariance_, covs['cd'], decimal=4) - assert_array_almost_equal(model.covariance_, covs['lars'], decimal=4) + assert_array_almost_equal(model.covariance_, covs['cd'], decimal=3) + assert_array_almost_equal(model.covariance_, covs['lars'], decimal=3) # For a centered matrix, assume_centered could be chosen True or False # Check that this returns indeed the same result for centered data -- 2.17.1