diff options
author | Yu ISHIKAWA <yuu.ishikawa@gmail.com> | 2016-01-20 10:48:10 -0800 |
---|---|---|
committer | Xiangrui Meng <meng@databricks.com> | 2016-01-20 10:48:10 -0800 |
commit | 9376ae723e4ec0515120c488541617a0538f8879 (patch) | |
tree | 55453b88f46862d5d43fd02d2f53e126d6444b4f /mllib/src/test/scala | |
parent | 8e4f894e986ccd943df9ddf55fc853eb0558886f (diff) | |
download | spark-9376ae723e4ec0515120c488541617a0538f8879.tar.gz spark-9376ae723e4ec0515120c488541617a0538f8879.tar.bz2 spark-9376ae723e4ec0515120c488541617a0538f8879.zip |
[SPARK-6519][ML] Add spark.ml API for bisecting k-means
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes #9604 from yu-iskw/SPARK-6519.
Diffstat (limited to 'mllib/src/test/scala')
-rw-r--r-- | mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala | 85 |
1 files changed, 85 insertions, 0 deletions
diff --git a/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala new file mode 100644 index 0000000000..b26571eb9f --- /dev/null +++ b/mllib/src/test/scala/org/apache/spark/ml/clustering/BisectingKMeansSuite.scala @@ -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.ml.clustering + +import org.apache.spark.SparkFunSuite +import org.apache.spark.mllib.util.MLlibTestSparkContext +import org.apache.spark.sql.DataFrame + +class BisectingKMeansSuite extends SparkFunSuite with MLlibTestSparkContext { + + final val k = 5 + @transient var dataset: DataFrame = _ + + override def beforeAll(): Unit = { + super.beforeAll() + dataset = KMeansSuite.generateKMeansData(sqlContext, 50, 3, k) + } + + test("default parameters") { + val bkm = new BisectingKMeans() + + assert(bkm.getK === 4) + assert(bkm.getFeaturesCol === "features") + assert(bkm.getPredictionCol === "prediction") + assert(bkm.getMaxIter === 20) + assert(bkm.getMinDivisibleClusterSize === 1.0) + } + + test("setter/getter") { + val bkm = new BisectingKMeans() + .setK(9) + .setMinDivisibleClusterSize(2.0) + .setFeaturesCol("test_feature") + .setPredictionCol("test_prediction") + .setMaxIter(33) + .setSeed(123) + + assert(bkm.getK === 9) + assert(bkm.getFeaturesCol === "test_feature") + assert(bkm.getPredictionCol === "test_prediction") + assert(bkm.getMaxIter === 33) + assert(bkm.getMinDivisibleClusterSize === 2.0) + assert(bkm.getSeed === 123) + + intercept[IllegalArgumentException] { + new BisectingKMeans().setK(1) + } + + intercept[IllegalArgumentException] { + new BisectingKMeans().setMinDivisibleClusterSize(0) + } + } + + test("fit & transform") { + val predictionColName = "bisecting_kmeans_prediction" + val bkm = new BisectingKMeans().setK(k).setPredictionCol(predictionColName).setSeed(1) + val model = bkm.fit(dataset) + assert(model.clusterCenters.length === k) + + val transformed = model.transform(dataset) + val expectedColumns = Array("features", predictionColName) + expectedColumns.foreach { column => + assert(transformed.columns.contains(column)) + } + val clusters = transformed.select(predictionColName).map(_.getInt(0)).distinct().collect().toSet + assert(clusters.size === k) + assert(clusters === Set(0, 1, 2, 3, 4)) + assert(model.computeCost(dataset) < 0.1) + } +} |