/*
* 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.doccat;
import static org.junit.Assert.assertEquals;
import java.io.IOException;
import java.util.Map;
import java.util.Set;
import java.util.SortedMap;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.ObjectStreamUtils;
import opennlp.tools.util.TrainingParameters;
import org.junit.Test;
public class DocumentCategorizerMETest {
@Test
public void testSimpleTraining() throws IOException {
ObjectStream<DocumentSample> samples = ObjectStreamUtils.createObjectStream(new DocumentSample[]{
new DocumentSample("1", new String[]{"a", "b", "c"}),
new DocumentSample("1", new String[]{"a", "b", "c", "1", "2"}),
new DocumentSample("1", new String[]{"a", "b", "c", "3", "4"}),
new DocumentSample("0", new String[]{"x", "y", "z"}),
new DocumentSample("0", new String[]{"x", "y", "z", "5", "6"}),
new DocumentSample("0", new String[]{"x", "y", "z", "7", "8"})
});
TrainingParameters params = new TrainingParameters();
params.put(TrainingParameters.ITERATIONS_PARAM, Integer.toString(100));
params.put(TrainingParameters.CUTOFF_PARAM, Integer.toString(0));
DoccatModel model = DocumentCategorizerME.train("x-unspecified", samples,
params, new BagOfWordsFeatureGenerator());
DocumentCategorizer doccat = new DocumentCategorizerME(model);
double aProbs[] = doccat.categorize("a");
assertEquals("1", doccat.getBestCategory(aProbs));
double bProbs[] = doccat.categorize("x");
assertEquals("0", doccat.getBestCategory(bProbs));
//test to make sure sorted map's last key is cat 1 because it has the highest score.
SortedMap<Double, Set<String>> sortedScoreMap = doccat.sortedScoreMap("a");
for (String cat : sortedScoreMap.get(sortedScoreMap.lastKey())) {
assertEquals("1", cat);
break;
}
System.out.println("");
}
}