zhipeng93 commented on a change in pull request #28:
URL: https://github.com/apache/flink-ml/pull/28#discussion_r762399576



##########
File path: 
flink-ml-lib/src/main/java/org/apache/flink/ml/classification/linear/LogisticRegressionModelData.java
##########
@@ -0,0 +1,122 @@
+/*
+ * 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.classification.linear;
+
+import org.apache.flink.api.common.serialization.Encoder;
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
+import org.apache.flink.core.fs.FSDataInputStream;
+import org.apache.flink.ml.linalg.DenseVector;
+import org.apache.flink.streaming.api.datastream.DataStream;
+import org.apache.flink.table.api.Table;
+import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
+import org.apache.flink.table.api.internal.TableImpl;
+
+import com.esotericsoftware.kryo.io.Input;
+import com.esotericsoftware.kryo.io.Output;
+
+import java.io.IOException;
+import java.io.OutputStream;
+import java.io.Serializable;
+
+/** Model data of {@link LogisticRegressionModel}. */
+public class LogisticRegressionModelData implements Serializable {
+
+    public final DenseVector coefficient;
+
+    public LogisticRegressionModelData(DenseVector coefficient) {
+        this.coefficient = coefficient;
+    }
+
+    /**
+     * Converts the table model to a data stream.
+     *
+     * @param modelData The table model data.
+     * @return The data stream model data.
+     */
+    public static DataStream<LogisticRegressionModelData> 
getModelDataStream(Table modelData) {
+        StreamTableEnvironment tEnv =
+                (StreamTableEnvironment) ((TableImpl) 
modelData).getTableEnvironment();
+        return tEnv.toDataStream(modelData).map(x -> 
(LogisticRegressionModelData) x.getField(0));
+    }
+
+    /**
+     * Gets the data encoder for {@link LogisticRegressionModelData}.
+     *
+     * @return The data encoder for {@link LogisticRegressionModelData}.
+     */
+    public static ModelDataEncoder getModelDataEncoder() {

Review comment:
       I am not sure about the design pattern. Let's keep it simple now. (Just 
removed `getModelDataEncoder` and `getModelDataDecoder`)




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