walterddr commented on a change in pull request #11344: 
[FLINK-16250][python][ml] Add interfaces for PipelineStage and Pipeline
URL: https://github.com/apache/flink/pull/11344#discussion_r390727653
 
 

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 File path: flink-python/pyflink/ml/api/base.py
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 @@ -0,0 +1,275 @@
+################################################################################
+#  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.
+################################################################################
+
+import re
+
+from abc import ABCMeta, abstractmethod
+
+from pyflink.table.table_environment import TableEnvironment
+from pyflink.table.table import Table
+from pyflink.ml.api.param import WithParams, Params
+from py4j.java_gateway import get_field
+
+
+class PipelineStage(WithParams):
+    """
+    Base class for a stage in a pipeline. The interface is only a concept, and 
does not have any
+    actual functionality. Its subclasses must be either Estimator or 
Transformer. No other classes
+    should inherit this interface directly.
+
+    Each pipeline stage is with parameters, and requires a public empty 
constructor for
+    restoration in Pipeline.
+    """
+
+    def __init__(self, params=None):
+        if params is None:
+            self._params = Params()
+        else:
+            self._params = params
+
+    def get_params(self) -> Params:
+        return self._params
+
+    def _convert_params_to_java(self, j_pipeline_stage):
+        for param in self._params._param_map:
+            java_param = self._make_java_param(j_pipeline_stage, param)
+            java_value = self._make_java_value(self._params._param_map[param])
+            j_pipeline_stage.set(java_param, java_value)
+
+    @staticmethod
+    def _make_java_param(j_pipeline_stage, param):
+        # camel case to snake case
+        name = re.sub(r'(?<!^)(?=[A-Z])', '_', param.name).upper()
+        return get_field(j_pipeline_stage, name)
+
+    @staticmethod
+    def _make_java_value(obj):
+        """ Convert Python object into Java """
+        if isinstance(obj, list):
+            obj = [PipelineStage._make_java_value(x) for x in obj]
+        return obj
 
 Review comment:
   These 2 utils are extremely useful, not just to PipelineStage IMO.

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