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author | Xiangrui Meng <meng@databricks.com> | 2015-05-12 16:53:47 -0700 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-05-12 16:53:47 -0700 |
commit | 2713bc65af1e0e81edd5fad0338e34fd127391f9 (patch) | |
tree | e2ed79db61c13a1b9a4e353372a3b6c52543285d /mllib/src/test/java | |
parent | 00e7b09a0bee2fcfd0ce34992bd26435758daf26 (diff) | |
download | spark-2713bc65af1e0e81edd5fad0338e34fd127391f9.tar.gz spark-2713bc65af1e0e81edd5fad0338e34fd127391f9.tar.bz2 spark-2713bc65af1e0e81edd5fad0338e34fd127391f9.zip |
[SPARK-7528] [MLLIB] make RankingMetrics Java-friendly
`RankingMetrics` contains a ClassTag, which is hard to create in Java. This PR adds a factory method `of` for Java users. coderxiang
Author: Xiangrui Meng <meng@databricks.com>
Closes #6098 from mengxr/SPARK-7528 and squashes the following commits:
e5d57ae [Xiangrui Meng] make RankingMetrics Java-friendly
Diffstat (limited to 'mllib/src/test/java')
-rw-r--r-- | mllib/src/test/java/org/apache/spark/mllib/evaluation/JavaRankingMetricsSuite.java | 64 |
1 files changed, 64 insertions, 0 deletions
diff --git a/mllib/src/test/java/org/apache/spark/mllib/evaluation/JavaRankingMetricsSuite.java b/mllib/src/test/java/org/apache/spark/mllib/evaluation/JavaRankingMetricsSuite.java new file mode 100644 index 0000000000..effc8a1a6d --- /dev/null +++ b/mllib/src/test/java/org/apache/spark/mllib/evaluation/JavaRankingMetricsSuite.java @@ -0,0 +1,64 @@ +/* + * 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.mllib.evaluation; + +import java.io.Serializable; +import java.util.ArrayList; + +import scala.Tuple2; +import scala.Tuple2$; + +import com.google.common.collect.Lists; +import org.junit.After; +import org.junit.Assert; +import org.junit.Before; +import org.junit.Test; + +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; + +public class JavaRankingMetricsSuite implements Serializable { + private transient JavaSparkContext sc; + private transient JavaRDD<Tuple2<ArrayList<Integer>, ArrayList<Integer>>> predictionAndLabels; + + @Before + public void setUp() { + sc = new JavaSparkContext("local", "JavaRankingMetricsSuite"); + predictionAndLabels = sc.parallelize(Lists.newArrayList( + Tuple2$.MODULE$.apply( + Lists.newArrayList(1, 6, 2, 7, 8, 3, 9, 10, 4, 5), Lists.newArrayList(1, 2, 3, 4, 5)), + Tuple2$.MODULE$.apply( + Lists.newArrayList(4, 1, 5, 6, 2, 7, 3, 8, 9, 10), Lists.newArrayList(1, 2, 3)), + Tuple2$.MODULE$.apply( + Lists.newArrayList(1, 2, 3, 4, 5), Lists.<Integer>newArrayList())), 2); + } + + @After + public void tearDown() { + sc.stop(); + sc = null; + } + + @Test + public void rankingMetrics() { + @SuppressWarnings("unchecked") + RankingMetrics<?> metrics = RankingMetrics.of(predictionAndLabels); + Assert.assertEquals(0.355026, metrics.meanAveragePrecision(), 1e-5); + Assert.assertEquals(0.75 / 3.0, metrics.precisionAt(4), 1e-5); + } +} |