---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
File ~/code/scikit-learn/sklearn/utils/_tags.py:275, in get_tags(estimator)
    274 try:
--> 275     tags = estimator.__sklearn_tags__()
    276 except AttributeError as exc:

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

During handling of the above exception, another exception occurred:

AttributeError                            Traceback (most recent call last)
Cell In[2], line 9
      7 X, y = make_regression(random_state=42)
      8 mapie = CrossConformalRegressor(Ridge())
----> 9 mapie.fit_conformalize(X, y)

File ~/miniforge3/envs/dev/lib/python3.13/site-packages/mapie/regression/regression.py:479, in CrossConformalRegressor.fit_conformalize(self, X, y, groups, fit_params, predict_params)
    475 fit_params_, sample_weight = _prepare_fit_params_and_sample_weight(
    476     fit_params
    477 )
    478 self._predict_params = _prepare_params(predict_params)
--> 479 self._mapie_regressor.fit(
    480     X,
    481     y,
    482     sample_weight,
    483     groups,
    484     fit_params=fit_params_,
    485     predict_params=self._predict_params
    486 )
    488 self.is_fitted_and_conformalized = True
    489 return self

File ~/miniforge3/envs/dev/lib/python3.13/site-packages/mapie/regression/regression.py:1413, in _MapieRegressor.fit(self, X, y, sample_weight, groups, **kwargs)
   1408 X, y, sample_weight, groups = self.init_fit(
   1409     X, y, sample_weight, groups, **kwargs
   1410 )
   1412 self.fit_estimator(X, y, sample_weight, groups)
-> 1413 self.conformalize(X, y, sample_weight, groups, **kwargs)
   1415 return self

File ~/miniforge3/envs/dev/lib/python3.13/site-packages/mapie/regression/regression.py:1491, in _MapieRegressor.conformalize(self, X, y, sample_weight, groups, **kwargs)
   1482 self.estimator_.fit_multi_estimators(
   1483     X,
   1484     y,
   (...)   1487     **self._fit_params
   1488 )
   1490 # Predict on calibration data
-> 1491 y_pred = self.estimator_.predict_calib(
   1492         X, y=y, groups=groups, **predict_params
   1493 )
   1495 # Compute the conformity scores (manage jk-ab case)
   1496 self.conformity_scores_ = \
   1497     self.conformity_score_function_.get_conformity_scores(
   1498         y, y_pred, X=X
   1499     )

File ~/miniforge3/envs/dev/lib/python3.13/site-packages/mapie/estimator/regressor.py:367, in EnsembleRegressor.predict_calib(self, X, y, groups, **predict_params)
    333 def predict_calib(
    334     self,
    335     X: ArrayLike,
   (...)    338     **predict_params
    339 ) -> NDArray:
    340     """
    341     Perform predictions on X : the calibration set.
    342 
   (...)    365         The predictions.
    366     """
--> 367     check_is_fitted(self, self.fit_attributes)
    369     if self.cv == "prefit":
    370         y_pred = self.single_estimator_.predict(X)

File ~/code/scikit-learn/sklearn/utils/validation.py:1699, in check_is_fitted(estimator, attributes, msg, all_or_any)
   1696 if not hasattr(estimator, "fit"):
   1697     raise TypeError("%s is not an estimator instance." % (estimator))
-> 1699 tags = get_tags(estimator)
   1701 if not tags.requires_fit and attributes is None:
   1702     return

File ~/code/scikit-learn/sklearn/utils/_tags.py:283, in get_tags(estimator)
    276 except AttributeError as exc:
    277     if "object has no attribute '__sklearn_tags__'" in str(exc):
    278         # Happens when `__sklearn_tags__` is implemented by calling
    279         # `super().__sklearn_tags__()` but there is no `__sklearn_tags__`
    280         # method in the base class. Typically happens when only inheriting
    281         # from Mixins.
--> 283         raise AttributeError(
    284             f"The following error was raised: {exc}. It seems that "
    285             "there are no classes that implement `__sklearn_tags__` "
    286             "in the MRO and/or all classes in the MRO call "
    287             "`super().__sklearn_tags__()`. Make sure to inherit from "
    288             "`BaseEstimator` which implements `__sklearn_tags__` (or "
    289             "alternatively define `__sklearn_tags__` but we don't recommend "
    290             "this approach). Note that `BaseEstimator` needs to be on the "
    291             "right side of other Mixins in the inheritance order."
    292         )
    293     else:
    294         raise

AttributeError: The following error was raised: 'EnsembleRegressor' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order.