reduced n_samples and n_features in test_nan_support for faster pytest (#21823)

jloayza10 · web-flow · commit 3f8868072c1e · 2021-12-02T21:13:23.000+01:00
diff --git a/sklearn/feature_selection/tests/test_sequential.py b/sklearn/feature_selection/tests/test_sequential.py
@@ -115,7 +115,7 @@ def test_nan_support():
     # Make sure nans are OK if the underlying estimator supports nans
 
     rng = np.random.RandomState(0)
-    n_samples, n_features = 100, 10
+    n_samples, n_features = 40, 4
     X, y = make_regression(n_samples, n_features, random_state=0)
     nan_mask = rng.randint(0, 2, size=(n_samples, n_features), dtype=bool)
     X[nan_mask] = np.nan
