[python-package] require scikit-learn>=0.24.2, make scikit-learn estimators compatible with scikit-learn>=1.6.0dev

python-package/lightgbm/sklearn.py

@@ -673,6 +673,18 @@ def _more_tags(self) -> Dict[str, Any]:
             },
         }
 
+    def __sklearn_tags__(self):
+        tags = super().__sklearn_tags__()
+        more_tags = self._more_tags()
+        tags.input_tags.allow_nan = more_tags.pop("allow_nan", False)
+        tagged_input_types = more_tags.pop("X_types", [])
+        tags.input_tags.sparse = "sparse" in tagged_input_types
+        tags.target_tags.one_d_labels = "1dlabels" in tagged_input_types
+        tags._xfail_checks = more_tags.pop("_xfail_checks", {})
+        if more_tags or set(tagged_input_types).difference({"2darray", "sparse", "1dlabels"}):
+            _log_warning(f"Some tags sklearn tag values are missing from __sklearn_tags__: `{more_tags}`")
+        return tags
+
     def __sklearn_is_fitted__(self) -> bool:
         return getattr(self, "fitted_", False)