enh: re-enabling spmd rf interfaces (#1700) (#1711)

* enh: re-enabling spmd rf interfaces

* restoring onedal_factor usage but adding __class__

* lint

* another attempt at it

* isinstance to issubclass and re-adding self

(cherry picked from commit bfa470b)

Co-authored-by: ethanglaser <42726565+ethanglaser@users.noreply.github.com>

Author: mergify[bot]

sklearnex/ensemble/_forest.py

@@ -453,14 +453,12 @@ def __init__(
 
         # The estimator is checked against the class attribute for conformance.
         # This should only trigger if the user uses this class directly.
-        if (
-            self.estimator.__class__ == DecisionTreeClassifier
-            and self._onedal_factory != onedal_RandomForestClassifier
+        if self.estimator.__class__ == DecisionTreeClassifier and not issubclass(
+            self._onedal_factory, onedal_RandomForestClassifier
         ):
             self._onedal_factory = onedal_RandomForestClassifier
-        elif (
-            self.estimator.__class__ == ExtraTreeClassifier
-            and self._onedal_factory != onedal_ExtraTreesClassifier
+        elif self.estimator.__class__ == ExtraTreeClassifier and not issubclass(
+            self._onedal_factory, onedal_ExtraTreesClassifier
         ):
             self._onedal_factory = onedal_ExtraTreesClassifier
 
@@ -843,14 +841,12 @@ def __init__(
 
         # The splitter is checked against the class attribute for conformance
         # This should only trigger if the user uses this class directly.
-        if (
-            self.estimator.__class__ == DecisionTreeRegressor
-            and self._onedal_factory != onedal_RandomForestRegressor
+        if self.estimator.__class__ == DecisionTreeRegressor and not issubclass(
+            self._onedal_factory, onedal_RandomForestRegressor
         ):
             self._onedal_factory = onedal_RandomForestRegressor
-        elif (
-            self.estimator.__class__ == ExtraTreeRegressor
-            and self._onedal_factory != onedal_ExtraTreesRegressor
+        elif self.estimator.__class__ == ExtraTreeRegressor and not issubclass(
+            self._onedal_factory, onedal_ExtraTreesRegressor
         ):
             self._onedal_factory = onedal_ExtraTreesRegressor
 

sklearnex/spmd/ensemble/forest.py

@@ -23,16 +23,9 @@
 from ...ensemble import RandomForestRegressor as RandomForestRegressor_Batch
 
 
-class BaseForestSPMD(ABC):
-    def _onedal_classifier(self, **onedal_params):
-        return onedal_RandomForestClassifier(**onedal_params)
-
-    def _onedal_regressor(self, **onedal_params):
-        return onedal_RandomForestRegressor(**onedal_params)
-
-
-class RandomForestClassifier(BaseForestSPMD, RandomForestClassifier_Batch):
+class RandomForestClassifier(RandomForestClassifier_Batch):
     __doc__ = RandomForestClassifier_Batch.__doc__
+    _onedal_factory = onedal_RandomForestClassifier
 
     def _onedal_cpu_supported(self, method_name, *data):
         # TODO:
@@ -55,8 +48,9 @@ def _onedal_gpu_supported(self, method_name, *data):
         return ready
 
 
-class RandomForestRegressor(BaseForestSPMD, RandomForestRegressor_Batch):
+class RandomForestRegressor(RandomForestRegressor_Batch):
     __doc__ = RandomForestRegressor_Batch.__doc__
+    _onedal_factory = onedal_RandomForestRegressor
 
     def _onedal_cpu_supported(self, method_name, *data):
         # TODO: