/*
* 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 opennlp.tools.ml.naivebayes;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.HashMap;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import opennlp.tools.ml.AbstractTrainer;
import opennlp.tools.ml.model.AbstractDataIndexer;
import opennlp.tools.ml.model.AbstractModel;
import opennlp.tools.ml.model.DataIndexer;
import opennlp.tools.ml.model.TwoPassDataIndexer;
import opennlp.tools.util.TrainingParameters;
/**
* Tests for persisting and reading naive bayes models
*/
public class NaiveBayesModelReadWriteTest {
private DataIndexer testDataIndexer;
@Before
public void initIndexer() {
TrainingParameters trainingParameters = new TrainingParameters();
trainingParameters.put(AbstractTrainer.CUTOFF_PARAM, 1);
trainingParameters.put(AbstractDataIndexer.SORT_PARAM, false);;
testDataIndexer = new TwoPassDataIndexer();
testDataIndexer.init(trainingParameters, new HashMap<>());
}
@Test
public void testBinaryModelPersistence() throws Exception {
testDataIndexer.index(NaiveBayesCorrectnessTest.createTrainingStream());
NaiveBayesModel model = (NaiveBayesModel) new NaiveBayesTrainer().trainModel(testDataIndexer);
Path tempFile = Files.createTempFile("bnb-", ".bin");
File file = tempFile.toFile();
NaiveBayesModelWriter modelWriter = new BinaryNaiveBayesModelWriter(model, file);
modelWriter.persist();
NaiveBayesModelReader reader = new BinaryNaiveBayesModelReader(file);
reader.checkModelType();
AbstractModel abstractModel = reader.constructModel();
Assert.assertNotNull(abstractModel);
}
@Test
public void testTextModelPersistence() throws Exception {
testDataIndexer.index(NaiveBayesCorrectnessTest.createTrainingStream());
NaiveBayesModel model = (NaiveBayesModel) new NaiveBayesTrainer().trainModel(testDataIndexer);
Path tempFile = Files.createTempFile("ptnb-", ".txt");
File file = tempFile.toFile();
NaiveBayesModelWriter modelWriter = new PlainTextNaiveBayesModelWriter(model, file);
modelWriter.persist();
NaiveBayesModelReader reader = new PlainTextNaiveBayesModelReader(file);
reader.checkModelType();
AbstractModel abstractModel = reader.constructModel();
Assert.assertNotNull(abstractModel);
}
}