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/*
* 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.fpm;
import java.io.File;
import java.util.Arrays;
import java.util.List;
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;
import org.apache.spark.mllib.fpm.PrefixSpan.FreqSequence;
import org.apache.spark.util.Utils;
public class JavaPrefixSpanSuite {
private transient JavaSparkContext sc;
@Before
public void setUp() {
sc = new JavaSparkContext("local", "JavaPrefixSpan");
}
@After
public void tearDown() {
sc.stop();
sc = null;
}
@Test
public void runPrefixSpan() {
JavaRDD<List<List<Integer>>> sequences = sc.parallelize(Arrays.asList(
Arrays.asList(Arrays.asList(1, 2), Arrays.asList(3)),
Arrays.asList(Arrays.asList(1), Arrays.asList(3, 2), Arrays.asList(1, 2)),
Arrays.asList(Arrays.asList(1, 2), Arrays.asList(5)),
Arrays.asList(Arrays.asList(6))
), 2);
PrefixSpan prefixSpan = new PrefixSpan()
.setMinSupport(0.5)
.setMaxPatternLength(5);
PrefixSpanModel<Integer> model = prefixSpan.run(sequences);
JavaRDD<FreqSequence<Integer>> freqSeqs = model.freqSequences().toJavaRDD();
List<FreqSequence<Integer>> localFreqSeqs = freqSeqs.collect();
Assert.assertEquals(5, localFreqSeqs.size());
// Check that each frequent sequence could be materialized.
for (PrefixSpan.FreqSequence<Integer> freqSeq: localFreqSeqs) {
List<List<Integer>> seq = freqSeq.javaSequence();
long freq = freqSeq.freq();
}
}
@Test
public void runPrefixSpanSaveLoad() {
JavaRDD<List<List<Integer>>> sequences = sc.parallelize(Arrays.asList(
Arrays.asList(Arrays.asList(1, 2), Arrays.asList(3)),
Arrays.asList(Arrays.asList(1), Arrays.asList(3, 2), Arrays.asList(1, 2)),
Arrays.asList(Arrays.asList(1, 2), Arrays.asList(5)),
Arrays.asList(Arrays.asList(6))
), 2);
PrefixSpan prefixSpan = new PrefixSpan()
.setMinSupport(0.5)
.setMaxPatternLength(5);
PrefixSpanModel<Integer> model = prefixSpan.run(sequences);
File tempDir = Utils.createTempDir(
System.getProperty("java.io.tmpdir"), "JavaPrefixSpanSuite");
String outputPath = tempDir.getPath();
try {
model.save(sc.sc(), outputPath);
PrefixSpanModel newModel = PrefixSpanModel.load(sc.sc(), outputPath);
JavaRDD<FreqSequence<Integer>> freqSeqs = newModel.freqSequences().toJavaRDD();
List<FreqSequence<Integer>> localFreqSeqs = freqSeqs.collect();
Assert.assertEquals(5, localFreqSeqs.size());
// Check that each frequent sequence could be materialized.
for (PrefixSpan.FreqSequence<Integer> freqSeq: localFreqSeqs) {
List<List<Integer>> seq = freqSeq.javaSequence();
long freq = freqSeq.freq();
}
} finally {
Utils.deleteRecursively(tempDir);
}
}
}
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