opennlp.tools.ml.naivebayes.NaiveBayesModelReader 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.naivebayes;
import java.io.File;
import java.io.IOException;
import opennlp.tools.ml.model.AbstractModel;
import opennlp.tools.ml.model.AbstractModelReader;
import opennlp.tools.ml.model.Context;
import opennlp.tools.ml.model.DataReader;
/**
* Abstract parent class for readers of NaiveBayes.
*/
public class NaiveBayesModelReader extends AbstractModelReader {
public NaiveBayesModelReader(File file) throws IOException {
super(file);
}
public NaiveBayesModelReader(DataReader dataReader) {
super(dataReader);
}
/**
* Retrieve a model from disk. It assumes that models are saved in the
* following sequence:
*
*
NaiveBayes (model type identifier)
*
1. # of parameters (int)
*
2. # of outcomes (int)
*
* list of outcome names (String)
*
3. # of different types of outcome patterns (int)
*
* list of (int int[])
*
[# of predicates for which outcome pattern is true] [outcome pattern]
*
4. # of predicates (int)
*
* list of predicate names (String)
*
* If you are creating a reader for a format which won't work with this
* (perhaps a database or xml file), override this method and ignore the
* other methods provided in this abstract class.
*
* @return The NaiveBayesModel stored in the format and location specified to
* this NaiveBayesModelReader (usually via its the constructor).
*/
public AbstractModel constructModel() throws IOException {
String[] outcomeLabels = getOutcomes();
int[][] outcomePatterns = getOutcomePatterns();
String[] predLabels = getPredicates();
Context[] params = getParameters(outcomePatterns);
return new NaiveBayesModel(params,
predLabels,
outcomeLabels);
}
public void checkModelType() throws java.io.IOException {
String modelType = readUTF();
if (!modelType.equals("NaiveBayes"))
System.out.println("Error: attempting to load a " + modelType +
" model as a NaiveBayes model." +
" You should expect problems.");
}
}