/* * * 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"); } }