opennlp.tools.ml.model.GenericModelReader 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.model;
import java.io.File;
import java.io.IOException;
import opennlp.tools.ml.maxent.io.GISModelReader;
import opennlp.tools.ml.maxent.io.QNModelReader;
import opennlp.tools.ml.naivebayes.NaiveBayesModelReader;
import opennlp.tools.ml.perceptron.PerceptronModelReader;
public class GenericModelReader extends AbstractModelReader {
private AbstractModelReader delegateModelReader;
public GenericModelReader(File f) throws IOException {
super(f);
}
public GenericModelReader(DataReader dataReader) {
super(dataReader);
}
public void checkModelType() throws IOException {
String modelType = readUTF();
switch (modelType) {
case "Perceptron":
delegateModelReader = new PerceptronModelReader(this.dataReader);
break;
case "GIS":
delegateModelReader = new GISModelReader(this.dataReader);
break;
case "QN":
delegateModelReader = new QNModelReader(this.dataReader);
break;
case "NaiveBayes":
delegateModelReader = new NaiveBayesModelReader(this.dataReader);
break;
default:
throw new IOException("Unknown model format: " + modelType);
}
}
public AbstractModel constructModel() throws IOException {
return delegateModelReader.constructModel();
}
}