AttributeError: 'super' object has no attribute '__sklearn_tags__'

[sshu2017]

I was following the "The Basics" tutorial but got an error like below when I ran this cell:

from skorecard.bucketers import DecisionTreeBucketer

bucketer = DecisionTreeBucketer(max_n_bins=10)
X_transformed = bucketer.fit_transform(X, y)

Also reproduced on my MacBook.

---

AttributeError Traceback (most recent call last)
Cell In[7], line 1
----> 1 X_transformed = bucketer.fit_transform(X, y)

File ~/Documents/PYTHON/06_enSkoreCard/skorecard/.myskorecard/lib/python3.10/site-packages/sklearn/utils/_set_output.py:319, in _wrap_method_output..wrapped(self, X, *args, **kwargs)
317 @wraps(f)
318 def wrapped(self, X, *args, **kwargs):
--> 319 data_to_wrap = f(self, X, *args, **kwargs)
320 if isinstance(data_to_wrap, tuple):
321 # only wrap the first output for cross decomposition
322 return_tuple = (
323 _wrap_data_with_container(method, data_to_wrap[0], X, self),
324 *data_to_wrap[1:],
325 )

File ~/Documents/PYTHON/06_enSkoreCard/skorecard/.myskorecard/lib/python3.10/site-packages/sklearn/base.py:921, in TransformerMixin.fit_transform(self, X, y, **fit_params)
918 return self.fit(X, **fit_params).transform(X)
919 else:
920 # fit method of arity 2 (supervised transformation)
--> 921 return self.fit(X, y, **fit_params).transform(X)

File ~/Documents/PYTHON/06_enSkoreCard/skorecard/skorecard/bucketers/base_bucketer.py:275, in BaseBucketer.fit(self, X, y)
272 self._update_column_fit(X, y, feature, special, splits, right)
274 if self.get_statistics:
--> 275 self._generate_summary(X, y)
277 return self

File ~/Documents/PYTHON/06_enSkoreCard/skorecard/skorecard/reporting/report.py:223, in SummaryMethod.generate_summary(self, X, y)
221 check_is_fitted(self.steps[-1][1])
222 else:
--> 223 check_is_fitted(self)
225 self.summary_dict = {}
227 # Calculate information value

File ~/Documents/PYTHON/06_enSkoreCard/skorecard/.myskorecard/lib/python3.10/site-packages/sklearn/utils/validation.py:1751, in check_is_fitted(estimator, attributes, msg, all_or_any)
1748 if not hasattr(estimator, "fit"):
1749 raise TypeError("%s is not an estimator instance." % (estimator))
-> 1751 tags = get_tags(estimator)
1753 if not tags.requires_fit and attributes is None:
1754 return

File ~/Documents/PYTHON/06_enSkoreCard/skorecard/.myskorecard/lib/python3.10/site-packages/sklearn/utils/_tags.py:430, in get_tags(estimator)
428 for klass in reversed(type(estimator).mro()):
429 if "sklearn_tags" in vars(klass):
--> 430 sklearn_tags_provider[klass] = klass.sklearn_tags(estimator) # type: ignore[attr-defined]
431 class_order.append(klass)
432 elif "_more_tags" in vars(klass):

File ~/Documents/PYTHON/06_enSkoreCard/skorecard/.myskorecard/lib/python3.10/site-packages/sklearn/base.py:859, in TransformerMixin.sklearn_tags(self)
858 def sklearn_tags(self):
--> 859 tags = super().sklearn_tags()
860 tags.transformer_tags = TransformerTags()
861 return tags

AttributeError: 'super' object has no attribute 'sklearn_tags'

[ReinierKoops]

It seems like a scikitlearn issue. Please downgrade it to a version that seems closer to what is written in the pyproject.toml

[sshu2017]

@ReinierKoops , thanks. After I specified an older version of sklearn, the codes run well now. Thanks!
Do you think this worth a PR?