package org.apache.lucene.classification.utils; /* * 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. */ import org.apache.lucene.analysis.Analyzer; import org.apache.lucene.analysis.MockAnalyzer; import org.apache.lucene.document.Document; import org.apache.lucene.document.Field; import org.apache.lucene.document.FieldType; import org.apache.lucene.document.TextField; import org.apache.lucene.index.AtomicReader; import org.apache.lucene.index.DirectoryReader; import org.apache.lucene.index.IndexReader; import org.apache.lucene.index.RandomIndexWriter; import org.apache.lucene.index.SlowCompositeReaderWrapper; import org.apache.lucene.store.BaseDirectoryWrapper; import org.apache.lucene.store.Directory; import org.apache.lucene.util.TestUtil; import org.apache.lucene.util.LuceneTestCase; import org.junit.After; import org.junit.Before; import org.junit.Test; import java.io.IOException; import java.util.Random; /** * Testcase for {@link org.apache.lucene.classification.utils.DatasetSplitter} */ public class DataSplitterTest extends LuceneTestCase { private AtomicReader originalIndex; private RandomIndexWriter indexWriter; private Directory dir; private String textFieldName = "text"; private String classFieldName = "class"; private String idFieldName = "id"; @Override @Before public void setUp() throws Exception { super.setUp(); dir = newDirectory(); indexWriter = new RandomIndexWriter(random(), dir); FieldType ft = new FieldType(TextField.TYPE_STORED); ft.setStoreTermVectors(true); ft.setStoreTermVectorOffsets(true); ft.setStoreTermVectorPositions(true); Analyzer analyzer = new MockAnalyzer(random()); Document doc; Random rnd = random(); for (int i = 0; i < 100; i++) { doc = new Document(); doc.add(new Field(idFieldName, Integer.toString(i), ft)); doc.add(new Field(textFieldName, TestUtil.randomUnicodeString(rnd, 1024), ft)); doc.add(new Field(classFieldName, TestUtil.randomUnicodeString(rnd, 10), ft)); indexWriter.addDocument(doc, analyzer); } indexWriter.commit(); originalIndex = SlowCompositeReaderWrapper.wrap(indexWriter.getReader()); } @Override @After public void tearDown() throws Exception { originalIndex.close(); indexWriter.close(); dir.close(); super.tearDown(); } @Test public void testSplitOnAllFields() throws Exception { assertSplit(originalIndex, 0.1, 0.1); } @Test public void testSplitOnSomeFields() throws Exception { assertSplit(originalIndex, 0.2, 0.35, idFieldName, textFieldName); } public static void assertSplit(AtomicReader originalIndex, double testRatio, double crossValidationRatio, String... fieldNames) throws Exception { BaseDirectoryWrapper trainingIndex = newDirectory(); BaseDirectoryWrapper testIndex = newDirectory(); BaseDirectoryWrapper crossValidationIndex = newDirectory(); try { DatasetSplitter datasetSplitter = new DatasetSplitter(testRatio, crossValidationRatio); datasetSplitter.split(originalIndex, trainingIndex, testIndex, crossValidationIndex, new MockAnalyzer(random()), fieldNames); assertNotNull(trainingIndex); assertNotNull(testIndex); assertNotNull(crossValidationIndex); DirectoryReader trainingReader = DirectoryReader.open(trainingIndex); assertTrue((int) (originalIndex.maxDoc() * (1d - testRatio - crossValidationRatio)) == trainingReader.maxDoc()); DirectoryReader testReader = DirectoryReader.open(testIndex); assertTrue((int) (originalIndex.maxDoc() * testRatio) == testReader.maxDoc()); DirectoryReader cvReader = DirectoryReader.open(crossValidationIndex); assertTrue((int) (originalIndex.maxDoc() * crossValidationRatio) == cvReader.maxDoc()); trainingReader.close(); testReader.close(); cvReader.close(); closeQuietly(trainingReader); closeQuietly(testReader); closeQuietly(cvReader); } finally { if (trainingIndex != null) { trainingIndex.close(); } if (testIndex != null) { testIndex.close(); } if (crossValidationIndex != null) { crossValidationIndex.close(); } } } private static void closeQuietly(IndexReader reader) throws IOException { try { if (reader != null) reader.close(); } catch (Exception e) { // do nothing } } }