Fix issue DistrictDataLabs#1328: update ContribEstimator wrapper to work with sklearn 1.6+ tags API

Starting in scikit-learn 1.6, the type-checking functions is_classifier(),
is_regressor(), is_clusterer(), and is_outlier_detector() were changed to
use a new tags-based mechanism. Instead of inspecting the _estimator_type
attribute directly, they now call get_tags(estimator), which in turn
invokes estimator.__sklearn_tags__() and checks the estimator_type field
on the returned Tags dataclass.

ContribEstimator did not implement __sklearn_tags__(), so when sklearn
called it, the call fell through to ContribEstimator.__getattr__(), which
proxied it to the wrapped third-party estimator. Since third-party
estimators (the whole reason ContribEstimator exists) typically don't
implement __sklearn_tags__() either, this raised an AttributeError,
causing all four type checks to fail.

The fix adds a __sklearn_tags__() method to ContribEstimator that builds
a default Tags object (via BaseEstimator) and replaces the estimator_type
field with the value from self._estimator_type when set. This preserves
the existing behavior where wrap(est, "classifier") makes the estimator
pass is_classifier() checks, while remaining forward-compatible with
sklearn's tags infrastructure.

Author: edschofield

yellowbrick/contrib/wrapper.py

@@ -19,6 +19,9 @@
 ## Imports
 ##########################################################################
 
+import dataclasses
+
+from sklearn.base import BaseEstimator
 from yellowbrick.exceptions import YellowbrickAttributeError
 
 
@@ -123,6 +126,13 @@ def __init__(self, estimator, estimator_type=None):
         if estimator_type:
             self._estimator_type = estimator_type
 
+    def __sklearn_tags__(self):
+        tags = BaseEstimator().__sklearn_tags__()
+        estimator_type = getattr(self, "_estimator_type", None)
+        if estimator_type is not None:
+            tags = dataclasses.replace(tags, estimator_type=estimator_type)
+        return tags
+
     def __getattr__(self, attr):
         # proxy to the wrapped object
         try: