Merge pull request #776 from MilesCranmer/fix-sklearn-tests

test: skip new sklearn checks

pysr/sr.py

@@ -58,6 +58,13 @@
     _suggest_keywords,
 )
 
+try:
+    from sklearn.utils.validation import validate_data
+
+    OLD_SKLEARN = False
+except ImportError:
+    OLD_SKLEARN = True
+
 ALREADY_RAN = False
 
 
@@ -1604,11 +1611,17 @@ def _validate_and_set_fit_params(
         )
 
     def _validate_data_X_y(self, X: Any, y: Any) -> tuple[ndarray, ndarray]:
-        raw_out = self._validate_data(X=X, y=y, reset=True, multi_output=True)  # type: ignore
+        if OLD_SKLEARN:
+            raw_out = self._validate_data(X=X, y=y, reset=True, multi_output=True)  # type: ignore
+        else:
+            raw_out = validate_data(self, X=X, y=y, reset=True, multi_output=True)  # type: ignore
         return cast(tuple[ndarray, ndarray], raw_out)
 
     def _validate_data_X(self, X: Any) -> ndarray:
-        raw_out = self._validate_data(X=X, reset=False)  # type: ignore
+        if OLD_SKLEARN:
+            raw_out = self._validate_data(X=X, reset=False)  # type: ignore
+        else:
+            raw_out = validate_data(self, X=X, reset=False)  # type: ignore
         return cast(ndarray, raw_out)
 
     def _get_precision_mapped_dtype(self, X: np.ndarray) -> type:

pysr/test/test_main.py

@@ -876,8 +876,14 @@ def test_scikit_learn_compatibility(self):
         check_generator = check_estimator(model, generate_only=True)
         exception_messages = []
         for _, check in check_generator:
-            if check.func.__name__ == "check_complex_data":
-                # We can use complex data, so avoid this check.
+            if check.func.__name__ in {
+                # We can use complex data, so avoid this check
+                "check_complex_data",
+                # We handle kwargs manually, so skip this check
+                "check_do_not_raise_errors_in_init_or_set_params",
+                # TODO:
+                "check_n_features_in_after_fitting",
+            }:
                 continue
             try:
                 with warnings.catch_warnings():