TST: Run _preprocess_data on sparse without checks

jakirkham · jakirkham · commit 952447aea36c · 2018-07-16T10:48:59.000-04:00
Make sure that even when checks are disabled, the sparse input still
gets copied if requested.
diff --git a/sklearn/linear_model/tests/test_base.py b/sklearn/linear_model/tests/test_base.py
@@ -321,6 +321,15 @@ def test_csr_preprocess_data():
     assert_equal(csr_.getformat(), 'csr')
 
 
+def test_csr_preprocess_data_no_checks():
+    # Test output format of _preprocess_data, when input is csr
+    X, y = make_regression()
+    X[X < 2.5] = 0.0
+    csr = sparse.csr_matrix(X)
+    csr_, y, _, _, _ = _preprocess_data(csr, y, True, check_input=False)
+    assert_equal(csr_.getformat(), 'csr')
+
+
 def test_dtype_preprocess_data():
     n_samples = 200
     n_features = 2
