/*
* 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];
}
}