Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/21283#discussion_r189465580
--- Diff:
examples/src/main/java/org/apache/spark/examples/ml/JavaPowerIterationClusteringExample.java
---
@@ -0,0 +1,85 @@
+/*
+ * 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.ml;
+
+// $example on$
+
+import org.apache.spark.ml.clustering.PowerIterationClustering;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.RowFactory;
+import org.apache.spark.sql.SparkSession;
+import org.apache.spark.sql.types.DataTypes;
+import org.apache.spark.sql.types.Metadata;
+import org.apache.spark.sql.types.StructField;
+import org.apache.spark.sql.types.StructType;
+
+import java.util.Arrays;
+import java.util.List;
+
+// $example off$
+
+/**
+ * An example demonstrating PowerIterationClusteringExample.
+ * Run with
+ * <pre>
+ * bin/run-example ml.JavaPowerIterationClusteringExample
+ * </pre>
+ */
+public class JavaPowerIterationClusteringExample {
+
+ public static void main(String[] args) {
+ // Create a SparkSession.
+ SparkSession spark = SparkSession
+ .builder()
+ .appName("JavaPowerIterationClustering")
+ .getOrCreate();
+
+ // $example on$
+ // Creates data.
+ List<Row> data = Arrays.asList(
+ RowFactory.create(0L, Arrays.asList(1L),
Arrays.asList(0.9)),
+ RowFactory.create(1L, Arrays.asList(2L),
Arrays.asList(0.9)),
+ RowFactory.create(2L, Arrays.asList(3L),
Arrays.asList(0.9)),
+ RowFactory.create(3L, Arrays.asList(4L),
Arrays.asList(0.1)),
+ RowFactory.create(4L, Arrays.asList(5L),
Arrays.asList(0.9))
+ );
+ StructType schema = new StructType(new StructField[]{
+ new StructField("id", DataTypes.LongType, false,
Metadata.empty()),
+ new StructField("neighbors",
DataTypes.createArrayType(DataTypes.LongType, false), false, Metadata.empty()),
+ new StructField("similarities",
DataTypes.createArrayType(DataTypes.DoubleType, false), false, Metadata.empty())
+ });
+
+ Dataset<Row> df = spark.createDataFrame(data, schema);
+
+ PowerIterationClustering pic = new PowerIterationClustering()
+ .setK(2)
+ .setMaxIter(10);
+
+ Dataset<Row> result = pic.transform(df);
+
+ // printing results
+ System.out.println("Clustering results [id , cluster]");
+ for (Row row : result.select("id","prediction").collectAsList()) {
+ System.out.println("[" + row.get(0) + " , " + row.get(1) +
"]");
+ }
--- End diff --
Can we just use `show` here?
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