Fanoid commented on code in PR #210:
URL: https://github.com/apache/flink-ml/pull/210#discussion_r1113982702


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flink-ml-lib/src/main/java/org/apache/flink/ml/classification/gbtclassifier/GBTClassifier.java:
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@@ -0,0 +1,75 @@
+/*
+ * 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.gbtclassifier;
+
+import org.apache.flink.ml.api.Estimator;
+import org.apache.flink.ml.common.gbt.GBTModelData;
+import org.apache.flink.ml.common.gbt.GBTRunner;
+import org.apache.flink.ml.param.Param;
+import org.apache.flink.ml.util.ParamUtils;
+import org.apache.flink.ml.util.ReadWriteUtils;
+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 org.apache.flink.util.Preconditions;
+
+import java.io.IOException;
+import java.util.HashMap;
+import java.util.Map;
+
+import static org.apache.flink.table.api.Expressions.$;
+
+/** An Estimator which implements the gradient boosting trees classification 
algorithm. */
+public class GBTClassifier
+        implements Estimator<GBTClassifier, GBTClassifierModel>,
+                GBTClassifierParams<GBTClassifier> {
+
+    private final Map<Param<?>, Object> paramMap = new HashMap<>();
+
+    public GBTClassifier() {
+        ParamUtils.initializeMapWithDefaultValues(paramMap, this);
+    }
+
+    public static GBTClassifier load(StreamTableEnvironment tEnv, String path) 
throws IOException {
+        return ReadWriteUtils.loadStageParam(path);
+    }
+
+    @Override
+    public Map<Param<?>, Object> getParamMap() {
+        return paramMap;
+    }
+
+    @Override
+    public GBTClassifierModel fit(Table... inputs) {
+        Preconditions.checkArgument(inputs.length == 1);
+        StreamTableEnvironment tEnv =
+                (StreamTableEnvironment) ((TableImpl) 
inputs[0]).getTableEnvironment();
+        DataStream<GBTModelData> modelData = 
GBTRunner.trainClassifier(inputs[0], this);

Review Comment:
   I'm not quite sure about your question.  Do you mean translate tests in 
`GBTRunnerTest` into `GBTClassifierTest ` and `GBTRegressorTest`?
   
   We already have public API tests in `GBTClassifierTest ` and 
`GBTRegressorTest`. And `GBTRunnerTest` is used to test functions of 
`GBTRunner` solely.



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