zhengruifeng commented on code in PR #40748:
URL: https://github.com/apache/spark/pull/40748#discussion_r1163524924


##########
python/pyspark/mlv2/base.py:
##########
@@ -0,0 +1,426 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from abc import ABCMeta, abstractmethod
+
+import copy
+import threading
+
+from typing import (
+    Any,
+    Callable,
+    Generic,
+    Iterator,
+    List,
+    Optional,
+    Sequence,
+    Tuple,
+    TypeVar,
+    Union,
+    cast,
+    overload,
+    TYPE_CHECKING,
+)
+
+from pyspark import since
+from pyspark.ml.param import P
+from pyspark.ml.common import inherit_doc
+from pyspark.ml.param.shared import (
+    HasInputCol,
+    HasOutputCol,
+    HasLabelCol,
+    HasFeaturesCol,
+    HasPredictionCol,
+)
+from pyspark.sql.dataframe import DataFrame

Review Comment:
   > I am thinking that we might need a parent class for both too
   +1, FYI the new ML implementations will only use pure 
Dataframe/Column/Functions APIs, in order to support both regular spark and 
spark connect.



##########
python/pyspark/mlv2/base.py:
##########
@@ -0,0 +1,426 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from abc import ABCMeta, abstractmethod
+
+import copy
+import threading
+
+from typing import (
+    Any,
+    Callable,
+    Generic,
+    Iterator,
+    List,
+    Optional,
+    Sequence,
+    Tuple,
+    TypeVar,
+    Union,
+    cast,
+    overload,
+    TYPE_CHECKING,
+)
+
+from pyspark import since
+from pyspark.ml.param import P
+from pyspark.ml.common import inherit_doc
+from pyspark.ml.param.shared import (
+    HasInputCol,
+    HasOutputCol,
+    HasLabelCol,
+    HasFeaturesCol,
+    HasPredictionCol,
+)
+from pyspark.sql.dataframe import DataFrame

Review Comment:
   > I am thinking that we might need a parent class for both too
   
   +1, FYI the new ML implementations will only use pure 
Dataframe/Column/Functions APIs, in order to support both regular spark and 
spark connect.



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