scikit-learn
diff --git a/‎sklearn/utils/estimator_checks.py‎
Lines changed: 4 additions & 6 deletions b/‎sklearn/utils/estimator_checks.py‎
Lines changed: 4 additions & 6 deletions
@@ -2591,12 +2591,10 @@ def param_filter(p):
             assert init_param.default != init_param.empty, (
                 "parameter %s for %s has no default value"
                 % (init_param.name, type(estimator).__name__))
-            if type(init_param.default) is type:
-                assert init_param.default in [np.float64, np.int64]
-            else:
-                assert (type(init_param.default) in
-                        [str, int, float, bool, tuple, type(None),
-                         np.float64, types.FunctionType, joblib.Memory])
+            allowed_types = {str, int, float, bool, tuple, type(None), type, types.FunctionType, joblib.Memory}
+            # Any numpy numeric such as np.int32.
+            allowed_types.update({np.dtype(type_name) for type_name in np.core.numeric_types.genericTypeRank})
+            assert type(init_param.default) in allowed_types
             if init_param.name not in params.keys():
                 # deprecated parameter, not in get_params
                 assert init_param.default is None