/**
* Copyright 2010 Neuroph Project http://neuroph.sourceforge.net
*
* Licensed 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 org.neuroph.util;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;
import org.neuroph.core.learning.SupervisedTrainingElement;
import org.neuroph.core.learning.TrainingElement;
import org.neuroph.core.learning.TrainingSet;
/**
* Handles training set imports
*
* @author Zoran Sevarac
* @author Ivan Nedeljkovic
* @author Kokanovic Rados
*/
// TODO: importFromDatabase(sql, ...) and importFromUrl(url, ...)
public class TrainingSetImport
{
public static TrainingSet importFromFile(String filePath, int inputsCount, int outputsCount, String separator)
throws IOException, FileNotFoundException, NumberFormatException
{
FileReader fileReader = null;
try {
TrainingSet trainingSet = new TrainingSet();
fileReader = new FileReader(new File(filePath));
BufferedReader reader = new BufferedReader(fileReader);
String line = "";
while((line = reader.readLine())!=null) {
double[] inputs = new double[inputsCount];
double[] outputs = new double[outputsCount];
String[] values = line.split(separator);
if (values[0].equals("")) continue; // skip if line was empty
for (int i = 0; i < inputsCount; i++)
inputs[i] = Double.parseDouble(values[i]);
for (int i = 0; i < outputsCount; i++)
outputs[i] = Double.parseDouble(values[inputsCount + i]);
if (outputsCount>0) {
trainingSet.addElement(new SupervisedTrainingElement(inputs, outputs));
} else {
trainingSet.addElement(new TrainingElement(inputs));
}
}
return trainingSet;
} catch (FileNotFoundException ex) {
ex.printStackTrace();
throw ex;
} catch(IOException ex) {
if(fileReader != null) {
fileReader.close();
}
ex.printStackTrace();
throw ex;
} catch (NumberFormatException ex) {
fileReader.close();
ex.printStackTrace();
throw ex;
}
}
}