AttributeError for CCA test from documentation.

[teakfi]

import cca_zoo
import numpy as np

rng=np.random.RandomState(0)

X1 = rng.random((10,5))

X2 = rng.random((10,5))

model = CCA()

model.fit((X1,X2)).score((X1,X2))

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[17], line 11
      7 X2 = rng.random((10,5))
      9 model = CCA()
---> 11 model.fit((X1,X2)).score((X1,X2))

File E:\anaconda3\envs\analysis\Lib\site-packages\cca_zoo\linear\_mcca.py:78, in MCCA.fit(self, views, y, **kwargs)
     76 def fit(self, views: Iterable[np.ndarray], y=None, **kwargs):
     77     # Validate the input data
---> 78     views = self._validate_data(views)
     79     # Check the parameters
     80     self._check_params()

File E:\anaconda3\envs\analysis\Lib\site-packages\cca_zoo\_base.py:58, in _BaseModel._validate_data(self, views)
     57 def _validate_data(self, views: Iterable[np.ndarray]):
---> 58     if not self._get_tags().get("multiview", False) and len(views) > 2:
     59         raise ValueError(
     60             f"Model can only be used with two representations, but {len(views)} were given. "
     61             "Use MCCA or GCCA instead for CCA or MPLS for PLS."
     62         )
     63     if self.copy_data:

File E:\anaconda3\envs\analysis\Lib\site-packages\sklearn\base.py:417, in BaseEstimator._get_tags(self)
    409 from sklearn.utils._tags import _to_old_tags, get_tags
    411 warnings.warn(
    412     "The `_get_tags` method is deprecated in 1.6 and will be removed in "
    413     "1.7. Please implement the `__sklearn_tags__` method.",
    414     category=FutureWarning,
    415 )
--> 417 return _to_old_tags(get_tags(self))

File E:\anaconda3\envs\analysis\Lib\site-packages\sklearn\utils\_tags.py:405, in get_tags(estimator)
    403 for klass in reversed(type(estimator).mro()):
    404     if "__sklearn_tags__" in vars(klass):
--> 405         sklearn_tags_provider[klass] = klass.__sklearn_tags__(estimator)  # type: ignore[attr-defined]
    406         class_order.append(klass)
    407     elif "_more_tags" in vars(klass):

File E:\anaconda3\envs\analysis\Lib\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__'

Sklearn version 1.6, run on windows 10 anaconda/jupyter lab.

[MattHodgman]

Same error. Did you find a fix?