opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter Maven / Gradle / Ivy
/*
* 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.perceptron;
import java.io.DataOutputStream;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.util.zip.GZIPOutputStream;
import opennlp.tools.ml.model.AbstractModel;
/**
* Model writer that saves models in binary format.
*/
public class BinaryPerceptronModelWriter extends PerceptronModelWriter {
private DataOutputStream output;
/**
* Constructor which takes a GISModel and a File and prepares itself to
* write the model to that file. Detects whether the file is gzipped or not
* based on whether the suffix contains ".gz".
*
* @param model The GISModel which is to be persisted.
* @param f The File in which the model is to be persisted.
*/
public BinaryPerceptronModelWriter(AbstractModel model, File f) throws IOException {
super(model);
if (f.getName().endsWith(".gz")) {
output = new DataOutputStream(
new GZIPOutputStream(new FileOutputStream(f)));
}
else {
output = new DataOutputStream(new FileOutputStream(f));
}
}
/**
* Constructor which takes a GISModel and a DataOutputStream and prepares
* itself to write the model to that stream.
*
* @param model The GISModel which is to be persisted.
* @param dos The stream which will be used to persist the model.
*/
public BinaryPerceptronModelWriter(AbstractModel model, DataOutputStream dos) {
super(model);
output = dos;
}
public void writeUTF(String s) throws java.io.IOException {
output.writeUTF(s);
}
public void writeInt(int i) throws java.io.IOException {
output.writeInt(i);
}
public void writeDouble(double d) throws java.io.IOException {
output.writeDouble(d);
}
public void close() throws java.io.IOException {
output.flush();
output.close();
}
}