/*
* 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.uima.util;
import java.io.BufferedOutputStream;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import org.apache.uima.resource.ResourceInitializationException;
import opennlp.tools.ml.TrainerFactory;
import opennlp.tools.ml.maxent.GISModel;
import opennlp.tools.ml.model.TrainUtil;
import opennlp.tools.util.TrainingParameters;
import opennlp.tools.util.model.BaseModel;
/**
* This class contains utils methods for the maxent library.
*/
final public class OpennlpUtil {
private OpennlpUtil() {
// this is util class must not be instantiated
}
/**
* Serializes a {@link GISModel} and writes it to the given
* {@link OutputStream}.
*
* @param model model to serialize
* @throws IOException IOException
*/
public static void serialize(BaseModel model, File modelFile)
throws IOException {
OutputStream modelOut = null;
try {
modelOut = new BufferedOutputStream(new FileOutputStream(modelFile));
model.serialize(modelOut);
} finally {
if (modelOut != null)
modelOut.close();
}
}
public static final byte[] loadBytes(File inFile) throws IOException {
ByteArrayOutputStream bytes = new ByteArrayOutputStream();
InputStream in = null;
try {
in = new FileInputStream(inFile);
byte buffer[] = new byte[1024];
int len;
while ((len = in.read(buffer)) > 0) {
bytes.write(buffer, 0, len);
}
}
finally {
if (in != null)
in.close();
}
return bytes.toByteArray();
}
public static final TrainingParameters loadTrainingParams(String inFileValue,
boolean isSequenceTrainingAllowed) throws ResourceInitializationException {
TrainingParameters params;
if (inFileValue != null) {
InputStream paramsIn = null;
try {
paramsIn = new FileInputStream(new File(inFileValue));
params = new opennlp.tools.util.TrainingParameters(paramsIn);
} catch (IOException e) {
throw new ResourceInitializationException(e);
}
finally {
try {
if (paramsIn != null)
paramsIn.close();
} catch (IOException e) {
}
}
if (!TrainerFactory.isValid(params.getSettings())) {
throw new ResourceInitializationException(new Exception("Training parameters file is invalid!"));
}
if (!isSequenceTrainingAllowed && TrainerFactory.isSequenceTraining(params.getSettings())) {
throw new ResourceInitializationException(new Exception("Sequence training is not supported!"));
}
}
else {
params = TrainingParameters.defaultParams();
}
return params;
}
}