jiangxin369 commented on code in PR #158:
URL: https://github.com/apache/flink-ml/pull/158#discussion_r980677136


##########
flink-ml-lib/src/main/java/org/apache/flink/ml/feature/variancethresholdselector/VarianceThresholdSelectorModelData.java:
##########
@@ -0,0 +1,121 @@
+/*
+ * 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.feature.variancethresholdselector;
+
+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.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.util.ArrayList;
+import java.util.List;
+
+/**
+ * Model data of {@link VarianceThresholdSelectorModel}.
+ *
+ * <p>This class also provides methods to convert model data from Table to a 
data stream, and
+ * classes to save/load model data.
+ */
+public class VarianceThresholdSelectorModelData {
+
+    public int numOfFeatures;
+    public int[] indices;

Review Comment:
   I think there should only be indices in the model data (so do Spark ML and 
sklearn),  because the model needs to be transformed on different datasets and 
it has better performance.
   Indeed, it's better to divide `VarianceThresholdSelectorParams` and 
`VarianceThresholdSelectorModelParams`, I'll do it.



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