MAINT Slight common tests cleanup (#14511)

sklearn/tests/test_common.py

@@ -32,7 +32,6 @@
     _safe_tags,
     set_checking_parameters,
     check_parameters_default_constructible,
-    check_no_attributes_set_in_init,
     check_class_weight_balanced_linear_classifier)
 
 
@@ -111,22 +110,6 @@ def test_estimators(estimator, check):
         check(name, estimator)
 
 
-@pytest.mark.parametrize("name, estimator",
-                         _tested_estimators())
-def test_no_attributes_set_in_init(name, estimator):
-    # input validation etc for all estimators
-    with ignore_warnings(category=(DeprecationWarning, ConvergenceWarning,
-                                   UserWarning, FutureWarning)):
-        tags = _safe_tags(estimator)
-        if tags['_skip_test']:
-            warnings.warn("Explicit SKIP via _skip_test tag for "
-                          "{}.".format(name),
-                          SkipTestWarning)
-            return
-        # check this on class
-        check_no_attributes_set_in_init(name, estimator)
-
-
 @ignore_warnings(category=DeprecationWarning)
 # ignore deprecated open(.., 'U') in numpy distutils
 def test_configure():

sklearn/utils/estimator_checks.py

@@ -72,6 +72,7 @@ def _safe_tags(estimator, key=None):
 
 def _yield_checks(name, estimator):
     tags = _safe_tags(estimator)
+    yield check_no_attributes_set_in_init
     yield check_estimators_dtypes
     yield check_fit_score_takes_y
     yield check_sample_weights_pandas_series
@@ -288,7 +289,6 @@ def check_estimator(Estimator):
         name = Estimator.__name__
         estimator = Estimator()
         check_parameters_default_constructible(name, Estimator)
-        check_no_attributes_set_in_init(name, estimator)
     else:
         # got an instance
         estimator = Estimator
@@ -2056,9 +2056,10 @@ def check_estimators_overwrite_params(name, estimator_orig):
             % (name, param_name, original_value, new_value))
 
 
-def check_no_attributes_set_in_init(name, estimator):
+@ignore_warnings(category=(DeprecationWarning, FutureWarning))
+def check_no_attributes_set_in_init(name, estimator_orig):
     """Check setting during init. """
-
+    estimator = clone(estimator_orig)
     if hasattr(type(estimator).__init__, "deprecated_original"):
         return
 

sklearn/utils/tests/test_estimator_checks.py

@@ -414,7 +414,7 @@ def test_check_estimator():
 
     # doesn't error on actual estimator
     check_estimator(LogisticRegression)
-    check_estimator(LogisticRegression())
+    check_estimator(LogisticRegression(C=0.01))
     check_estimator(MultiTaskElasticNet)
     check_estimator(MultiTaskElasticNet())
 
@@ -483,11 +483,11 @@ def test_check_estimators_unfitted():
 
 
 def test_check_no_attributes_set_in_init():
-    class NonConformantEstimatorPrivateSet:
+    class NonConformantEstimatorPrivateSet(BaseEstimator):
         def __init__(self):
             self.you_should_not_set_this_ = None
 
-    class NonConformantEstimatorNoParamSet:
+    class NonConformantEstimatorNoParamSet(BaseEstimator):
         def __init__(self, you_should_set_this_=None):
             pass