/* * CachedDistributionLikelihood.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.distribution; import dr.inference.model.AbstractModelLikelihood; import dr.inference.model.Model; import dr.inference.model.Parameter; import dr.inference.model.Variable; /** * @author Marc Suchard */ public class CachedDistributionLikelihood extends AbstractModelLikelihood { public CachedDistributionLikelihood(String name, AbstractDistributionLikelihood likelihood, Variable variable) { super(name); this.likelihood = likelihood; addVariable(variable); } protected void handleModelChangedEvent(Model model, Object object, int index) { likelihoodKnown = false; } protected void handleVariableChangedEvent(Variable variable, int index, Parameter.ChangeType type) { likelihoodKnown = false; } protected void storeState() { storedLikelihoodKnow = likelihoodKnown; storedLogLikelihood = logLikelihood; } protected void restoreState() { likelihoodKnown = storedLikelihoodKnow; logLikelihood = storedLogLikelihood; } protected void acceptState() { } public AbstractDistributionLikelihood getDistributionLikelihood() { return likelihood; } public Model getModel() { return this; } public double getLogLikelihood() { if (!likelihoodKnown) { logLikelihood = calculateLogLikelihood(); likelihoodKnown = true; } return logLikelihood; } private double calculateLogLikelihood() { return likelihood.calculateLogLikelihood(); } public void makeDirty() { likelihoodKnown = false; } private boolean likelihoodKnown; private boolean storedLikelihoodKnow; private double logLikelihood; private double storedLogLikelihood; private final AbstractDistributionLikelihood likelihood; }