yunfengzhou-hub commented on code in PR #160:
URL: https://github.com/apache/flink-ml/pull/160#discussion_r993058402


##########
flink-ml-lib/src/main/java/org/apache/flink/ml/feature/splitter/Splitter.java:
##########
@@ -0,0 +1,111 @@
+/*

Review Comment:
   In order to align the functionality of this algorithm with Spark's 
`DataSet.randomSplit`, do you think the following API would be better?
   - rename the algorithm from `Splitter` to `RandomSplit`.
   - The parameter of this algorithm is a `double[]` whose length >= 2 and 
contains positive values. The positive values are the weights, proportional to 
the number of records to be placed in the split datastreams.
     - If the sum of the values in the double array is not 1, they will be 
normalized.
   - The output is a Table array whose size is equal to the double array 
parameter's length.



##########
flink-ml-lib/src/main/java/org/apache/flink/ml/feature/splitter/Splitter.java:
##########
@@ -0,0 +1,111 @@
+/*
+ * 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.splitter;
+
+import org.apache.flink.api.common.functions.FlatMapFunction;
+import org.apache.flink.api.common.functions.MapFunction;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.ml.api.AlgoOperator;
+import org.apache.flink.ml.common.datastream.TableUtils;
+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.types.Row;
+import org.apache.flink.util.Collector;
+import org.apache.flink.util.Preconditions;
+
+import java.io.IOException;
+import java.util.HashMap;
+import java.util.Map;
+import java.util.Random;
+
+/** An AlgoOperator which splits a dataset into two datasets according to a 
given fraction. */

Review Comment:
   nit: dataset -> datastream.



##########
docs/content/docs/operators/feature/splitter.md:
##########
@@ -0,0 +1,143 @@
+---
+title: "Splitter"
+weight: 1
+type: docs
+aliases:
+- /operators/feature/splitter.html
+---
+
+<!--
+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.
+-->
+
+## Splitter
+
+An AlgoOperator which splits a dataset into two datasets according to a given 
fraction.
+
+### Parameters

Review Comment:
   Let's describe the input and output of this operator as well.



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]

Reply via email to