Merge pull request scikit-learn#7317 from amueller/common_test_names

[MRG+1] make more explicit which checks are run

Author: ogrisel

sklearn/tests/test_common.py

@@ -33,7 +33,8 @@
     check_class_weight_balanced_linear_classifier,
     check_transformer_n_iter,
     check_non_transformer_estimators_n_iter,
-    check_get_params_invariance)
+    check_get_params_invariance,
+    _set_test_name)
 
 
 def test_all_estimator_no_base_class():
@@ -55,7 +56,8 @@ def test_all_estimators():
 
     for name, Estimator in estimators:
         # some can just not be sensibly default constructed
-        yield check_parameters_default_constructible, name, Estimator
+        yield (_set_test_name(check_parameters_default_constructible, name),
+               name, Estimator)
 
 
 def test_non_meta_estimators():
@@ -70,9 +72,9 @@ def test_non_meta_estimators():
             if issubclass(Estimator, ProjectedGradientNMF):
                 # The ProjectedGradientNMF class is deprecated
                 with ignore_warnings():
-                    yield check, name, Estimator
+                    yield _set_test_name(check, name), name, Estimator
             else:
-                yield check, name, Estimator
+                yield _set_test_name(check, name), name, Estimator
 
 
 def test_configure():
@@ -114,7 +116,8 @@ def test_class_weight_balanced_linear_classifiers():
                 issubclass(clazz, LinearClassifierMixin))]
 
     for name, Classifier in linear_classifiers:
-        yield check_class_weight_balanced_linear_classifier, name, Classifier
+        yield _set_test_name(check_class_weight_balanced_linear_classifier,
+                             name), name, Classifier
 
 
 @ignore_warnings
@@ -196,8 +199,9 @@ def test_non_transformer_estimators_n_iter():
                 else:
                     # Multitask models related to ENet cannot handle
                     # if y is mono-output.
-                    yield (check_non_transformer_estimators_n_iter,
-                           name, estimator, 'Multi' in name)
+                    yield (_set_test_name(
+                        check_non_transformer_estimators_n_iter, name),
+                        name, estimator, 'Multi' in name)
 
 
 def test_transformer_n_iter():
@@ -218,9 +222,12 @@ def test_transformer_n_iter():
             if isinstance(estimator, ProjectedGradientNMF):
                 # The ProjectedGradientNMF class is deprecated
                 with ignore_warnings():
-                    yield check_transformer_n_iter, name, estimator
+                    yield _set_test_name(
+                        check_transformer_n_iter, name), name, estimator
             else:
-                yield check_transformer_n_iter, name, estimator
+                yield _set_test_name(
+                    check_transformer_n_iter, name), name, estimator
+
 
 def test_get_params_invariance():
     # Test for estimators that support get_params, that
@@ -234,6 +241,8 @@ def test_get_params_invariance():
             # If class is deprecated, ignore deprecated warnings
             if hasattr(Estimator.__init__, "deprecated_original"):
                 with ignore_warnings():
-                    yield check_get_params_invariance, name, Estimator
+                    yield _set_test_name(
+                        check_get_params_invariance, name), name, Estimator
             else:
-                yield check_get_params_invariance, name, Estimator
+                yield _set_test_name(
+                    check_get_params_invariance, name), name, Estimator

sklearn/utils/estimator_checks.py

@@ -75,6 +75,12 @@
     "GradientBoostingClassifier", "GradientBoostingRegressor"]
 
 
+def _set_test_name(function, name):
+    function.description = ("sklearn.tests.test_common.{0}({1})".format(
+        function.__name__, name))
+    return function
+
+
 def _yield_non_meta_checks(name, Estimator):
     yield check_estimators_dtypes
     yield check_fit_score_takes_y