xuyang1706 commented on a change in pull request #9300: [FLINK-13513][ml] Add 
the FlatMapper and related classes for later al…
URL: https://github.com/apache/flink/pull/9300#discussion_r337473932
 
 

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 File path: 
flink-ml-parent/flink-ml-lib/src/main/java/org/apache/flink/ml/common/mapper/FlatModelMapper.java
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 @@ -0,0 +1,138 @@
+/*
+ * 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.common.mapper;
+
+import org.apache.flink.ml.api.misc.param.Params;
+import org.apache.flink.table.api.TableSchema;
+import org.apache.flink.types.Row;
+
+import java.util.List;
+
+/**
+ * Abstract class for flatMappers with model.
+ *
+ * <p>The general process of transform the input use machine learning model is:
+ * <ul>
+ *     <li>1. load the model into memory.</li>
+ *     <li>2. process the input using the model.</li>
+ * </ul>
+ * So, different from the {@link FlatMapper}, this class has a new abstract 
method
+ * named {@link #loadModel(List)} that load the model and transform it to the
+ * memory structure.
+ *
+ * <p>The model is the machine learning model that use the Table as
+ * its representation(serialized to Table from the memory
+ * or deserialized from Table to memory).
+ */
+public abstract class FlatModelMapper extends FlatMapper {
+
+       /**
+        * schema of the model with Table type.
+        */
+       protected TableSchema modelSchema;
+
+       public FlatModelMapper(TableSchema modelSchema, TableSchema dataSchema, 
Params params) {
+               super(dataSchema, params);
+               this.modelSchema = modelSchema;
+       }
+
+       /**
+        * Load model from the list of Row type data.
+        *
+        * @param modelRows the list of Row type data
+        */
+       public abstract void loadModel(List<Row> modelRows);
+
+       /**
+        * Generate new instance of given FlatModelMapper class without model 
data.
+        * The instance can not deal with real data, but it could be used to 
get the output result schema.
+        *
+        * @param flatModelMapperClassName Name of the FlatModelMapper class
+        * @param modelScheme              The model scheme represented in 
Table format.
+        * @param dataSchema               The schema of the input data 
represented in Table format.
+        * @param params                   The parameters for the instance 
construction.
+        * @return The object of {@link FlatModelMapper}
+        * @throws Exception if flatModelMapperClass is not the class of {@link 
FlatModelMapper}
+        */
+       public static FlatModelMapper of(
 
 Review comment:
   Thanks, changed the static method.

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