zhipeng93 commented on a change in pull request #29:
URL: https://github.com/apache/flink-ml/pull/29#discussion_r746279810



##########
File path: 
flink-ml-lib/src/main/java/org/apache/flink/ml/operator/batch/BatchOperator.java
##########
@@ -0,0 +1,109 @@
+/*
+ * 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.
+ */
+
+package org.apache.flink.ml.operator.batch;
+
+import org.apache.flink.ml.operator.BaseAlgoImpl;
+import org.apache.flink.ml.param.Param;
+import org.apache.flink.table.api.Table;
+
+import java.util.Arrays;
+import java.util.Map;
+
+/**
+ * Base class of offline learning algorithm operators.
+ *
+ * <p>This class extends {@link BaseAlgoImpl} to support data transmission 
between BatchOperators.
+ */
+public abstract class BatchOperator<T extends BatchOperator<T>> extends 
BaseAlgoImpl<T> {

Review comment:
       Hi Dong, thanks for the review :)
   
   As proposed in the 
[FLIP-173](https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=184615783),
 we support Transformer/Estimator/AlgoOperator with multiple inputs and 
multiple outputs. Though there exist s transformers/estimators/algoOperators 
that accept multiple inputs and output, the real case is that many of them 
still have single input and single output (e.g., Logsitic Regression, K-Means, 
K-NN, etc).
   
   Thus to increase the usability, we would like to distinguish the main output 
and sideoutputs here. A motivation example can be found 
[here](https://docs.google.com/document/d/1L3aI9LjkcUPoM52liEY6uFktMnFMNFQ6kXAjnz_11do/edit#heading=h.58nok892sbom).




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