deb_tests_lower_precision
authorNeuroDebian Team <team@neuro.debian.net>
Tue, 22 Nov 2016 15:34:29 +0000 (15:34 +0000)
committerPeter Michael Green <plugwash@raspbian.org>
Tue, 22 Nov 2016 15:34:29 +0000 (15:34 +0000)
Gbp-Pq: Name deb_tests_lower_precision

sklearn/feature_selection/tests/test_from_model.py

index 06dc3d7f425c2815c9de1da207f843a0c49c5eb8..55824d54cf4664da8f3db4ae7aac87fb0fd109af 100644 (file)
@@ -92,7 +92,7 @@ def test_feature_importances():
     importances = transformer.estimator_.feature_importances_
     transformer.fit(X, y, sample_weight=3 * sample_weight)
     importances_bis = transformer.estimator_.feature_importances_
-    assert_almost_equal(importances, importances_bis)
+    assert_almost_equal(importances, importances_bis, decimal=4)
 
     # For the Lasso and related models, the threshold defaults to 1e-5
     transformer = SelectFromModel(estimator=Lasso(alpha=0.1))