Adding unit test for partial fit

Signed-off-by: Adam Li <adam2392@gmail.com>

Author: adam2392

sklearn/tree/_classes.py

@@ -252,7 +252,7 @@ def _fit(
                 dtype=DTYPE, accept_sparse="csc", ensure_all_finite=False
             )
             check_y_params = dict(ensure_2d=False, dtype=None)
-            if y is not None or self.__sklearn_tags__().required:
+            if y is not None or self.__sklearn_tags__().target_tags.required:
                 X, y = validate_data(
                     self, X, y, validate_separately=(check_X_params, check_y_params)
                 )
@@ -1398,7 +1398,11 @@ def partial_fit(self, X, y, sample_weight=None, check_input=True, classes=None):
             check_X_params = dict(dtype=DTYPE, accept_sparse="csc")
             check_y_params = dict(ensure_2d=False, dtype=None)
             X, y = validate_data(
-                self, X, y, reset=False, validate_separately=(check_X_params, check_y_params)
+                self,
+                X,
+                y,
+                reset=False,
+                validate_separately=(check_X_params, check_y_params),
             )
             if issparse(X):
                 X.sort_indices()

sklearn/tree/tests/test_tree.py

@@ -54,7 +54,10 @@
     ignore_warnings,
     skip_if_32bit,
 )
-from sklearn.utils.estimator_checks import check_sample_weights_invariance
+from sklearn.utils.estimator_checks import (
+    check_sample_weights_invariance,
+    parametrize_with_checks,
+)
 from sklearn.utils.fixes import (
     _IS_32BIT,
     COO_CONTAINERS,
@@ -235,6 +238,18 @@ def assert_tree_equal(d, s, message):
     )
 
 
+@parametrize_with_checks(
+    [
+        DecisionTreeClassifier(),
+        DecisionTreeRegressor(),
+        ExtraTreeClassifier(),
+        ExtraTreeRegressor(),
+    ]
+)
+def test_sklearn_compatible_estimator(estimator, check):
+    check(estimator)
+
+
 def test_classification_toy():
     # Check classification on a toy dataset.
     for name, Tree in CLF_TREES.items():