Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/11116#discussion_r53392192
--- Diff:
examples/src/main/java/org/apache/spark/examples/mllib/JavaGaussianMixtureExample.java
---
@@ -0,0 +1,69 @@
+/*
+ * 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.spark.examples.mllib;
+
+// $example on$
+import org.apache.spark.api.java.*;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.mllib.clustering.GaussianMixture;
+import org.apache.spark.mllib.clustering.GaussianMixtureModel;
+import org.apache.spark.mllib.linalg.Vector;
+import org.apache.spark.mllib.linalg.Vectors;
+// $example off$
+
+import org.apache.spark.SparkConf;
+
+public class JavaGaussianMixtureExample {
+ public static void main(String[] args) {
+
+ SparkConf conf = new
SparkConf().setAppName("JavaGaussianMixtureExample");
+ JavaSparkContext jsc = new JavaSparkContext(conf);
+
+ // $example on$
+ // Load and parse data
+ String path = "data/mllib/gmm_data.txt";
+ JavaRDD<String> data = jsc.textFile(path);
+ JavaRDD<Vector> parsedData = data.map(
--- End diff --
Change the code block like this:
```Java
JavaRDD<Vector> parsedData = data.map(
new Function<String, Vector>() {
public Vector call(String s) {
String[] sarray = s.trim().split(" ");
double[] values = new double[sarray.length];
for (int i = 0; i < sarray.length; i++)
values[i] = Double.parseDouble(sarray[i]);
return Vectors.dense(values);
}
}
);
```
All 2-indent spaces.
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