/*
*
* YAQP - Yet Another QSAR Project:
* Machine Learning algorithms designed for the prediction of toxicological
* features of chemical compounds become available on the Web. Yaqp is developed
* under OpenTox (http://opentox.org) which is an FP7-funded EU research project.
* This project was developed at the Automatic Control Lab in the Chemical Engineering
* School of the National Technical University of Athens. Please read README for more
* information.
*
* Copyright (C) 2009-2010 Pantelis Sopasakis & Charalampos Chomenides
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
* Contact:
* Pantelis Sopasakis
* chvng@mail.ntua.gr
* Address: Iroon Politechniou St. 9, Zografou, Athens Greece
* tel. +30 210 7723236
*/
package org.opentox.ontology.data;
import org.opentox.core.exceptions.YaqpException;
import org.opentox.core.processors.Processor;
import org.opentox.io.publishable.OntObject;
import weka.core.Instances;
/**
*
* @author Pantelis Sopasakis
* @author Charalampos Chomenides
*/
public class DatasetBuilder extends Processor<Object, Dataset>{
/**
*
* @param data
* @return
* @throws YaqpException
* @throws IllegalArgumentException
* In case the provided dataset object is not an instance of OntObject
* or {@link weka.core.Instances Instances}
*/
public Dataset process(Object data) throws YaqpException {
if (data instanceof OntObject){
return DatasetFactory.getDataset((OntObject)data);
} else if (data instanceof Instances){
return DatasetFactory.getDataset((Instances)data);
}
throw new IllegalArgumentException("Dataset could not be built");
}
}