Removing __repr__ on DataCleaner as new get_params handles it

foreshadow/steps/cleaner.py

@@ -36,19 +36,3 @@ def get_mapping(self, X):
             ],
             cols=X.columns,
         )
-
-    # def __repr__(self):
-    #     """Return string representation of this object with parent params.
-    #
-    #     Returns:
-    #         See above.
-    #
-    #     """
-    #     r = super().__repr__()
-    #     preparer_params = self._preparer_params()
-    #     preparer_params = {p: getattr(self, p, None)
-    #                        for p in preparer_params}
-    #     preparer_print = ", ".join(
-    #         ["{}={}".format(k, v) for k, v in preparer_params.items()]
-    #     )
-    #     return r[:-1] + preparer_print + ")"

foreshadow/wrapper.py

@@ -138,7 +138,8 @@ def get_params(self, deep=True):
             # so we set them with the values on the object instance, below.
             try:
                 self_params = super().get_params(deep=deep)
-            except RuntimeError:
+            except RuntimeError as e:
+                print(e)
                 # TODO, Chris explain why we copy scikit-learn's internal
                 # get_params.
                 self_params = dict()  # the output