/* * DefaultModel.java * * Copyright (c) 2002-2015 Alexei Drummond, Andrew Rambaut and Marc Suchard * * This file is part of BEAST. * See the NOTICE file distributed with this work for additional * information regarding copyright ownership and licensing. * * BEAST is free software; you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as * published by the Free Software Foundation; either version 2 * of the License, or (at your option) any later version. * * BEAST 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 Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with BEAST; if not, write to the * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, * Boston, MA 02110-1301 USA */ package dr.inference.model; import dr.inference.loggers.LogColumn; import dr.inferencexml.model.DefaultModelParser; /** * @author Marc Suchard */ public class DefaultModel extends AbstractModelLikelihood { public DefaultModel() { super(DefaultModelParser.DUMMY_MODEL); } public DefaultModel(String str) { super(str); } public DefaultModel(Parameter parameter) { super(DefaultModelParser.DUMMY_MODEL); addVariable(parameter); } protected void handleModelChangedEvent(Model model, Object object, int index) { } protected final void handleVariableChangedEvent(Variable variable, int index, Parameter.ChangeType type) { } protected void storeState() { } protected void restoreState() { } protected void acceptState() { } public Model getModel() { return this; } public double getLogLikelihood() { return 0; } public void makeDirty() { } public LogColumn[] getColumns() { return new LogColumn[0]; } }