/*
* EmpiricalDistributionLikelihoodParser.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.inferencexml.distribution;
import dr.inference.distribution.EmpiricalDistributionLikelihood;
import dr.inference.distribution.SplineInterpolatedLikelihood;
import dr.inference.model.Likelihood;
import dr.inference.model.Statistic;
import dr.xml.*;
/**
* @author Andrew Rambaut
* @author Marc A. Suchard
*/
public class EmpiricalDistributionLikelihoodParser extends AbstractXMLObjectParser {
public static final String FILE_NAME = "fileName";
public static final String DATA = "data";
public static final String FROM = "from";
public static final String TO = "to";
public static final String SPLINE_INTERPOLATION = "splineInterpolation";
public static final String DEGREE = "degree";
public static final String INVERSE = "inverse";
public static final String READ_BY_COLUMN = "readByColumn";
public static final String OFFSET="offset";
public static final String LOWER = "lower";
public static final String UPPER = "upper";
public String getParserName() {
return EmpiricalDistributionLikelihood.EMPIRICAL_DISTRIBUTION_LIKELIHOOD;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
String fileName = xo.getStringAttribute(FILE_NAME);
boolean splineInterpolation = xo.getAttribute(SPLINE_INTERPOLATION,false);
int degree = xo.getAttribute(DEGREE,3); // Default is cubic-spline
boolean inverse = xo.getAttribute(INVERSE,false);
boolean byColumn = xo.getAttribute(READ_BY_COLUMN,true);
EmpiricalDistributionLikelihood likelihood;
if (splineInterpolation) {
if( degree < 1 )
throw new XMLParseException("Spline degree must be greater than zero!");
likelihood = new SplineInterpolatedLikelihood(fileName,degree,inverse,byColumn);
} else
//likelihood = new EmpiricalDistributionLikelihood(fileName,inverse,byColumn);
throw new XMLParseException("Only spline-interpolated empirical distributions are currently support");
XMLObject cxo1 = xo.getChild(DATA);
final int from = cxo1.getAttribute(FROM, -1);
int to = cxo1.getAttribute(TO, -1);
if (from >= 0 || to >= 0) {
if (to < 0) {
to = Integer.MAX_VALUE;
}
if (!(from >= 0 && to >= 0 && from < to)) {
throw new XMLParseException("ill formed from-to");
}
likelihood.setRange(from, to);
}
for (int j = 0; j < cxo1.getChildCount(); j++) {
if (cxo1.getChild(j) instanceof Statistic) {
likelihood.addData((Statistic) cxo1.getChild(j));
} else {
throw new XMLParseException("illegal element in " + cxo1.getName() + " element");
}
}
double offset = cxo1.getAttribute(OFFSET,0);
likelihood.setOffset(offset);
if (cxo1.hasAttribute(LOWER) || cxo1.hasAttribute(UPPER)) {
likelihood.setBounds(
cxo1.getAttribute(LOWER, Double.NEGATIVE_INFINITY),
cxo1.getAttribute(UPPER, Double.POSITIVE_INFINITY)
);
}
return likelihood;
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private final XMLSyntaxRule[] rules = {
AttributeRule.newStringRule(FILE_NAME),
AttributeRule.newBooleanRule(SPLINE_INTERPOLATION,true),
AttributeRule.newIntegerRule(DEGREE,true),
AttributeRule.newBooleanRule(INVERSE,true),
AttributeRule.newBooleanRule(READ_BY_COLUMN,true),
new ElementRule(DATA, new XMLSyntaxRule[]{
AttributeRule.newIntegerRule(FROM, true),
AttributeRule.newIntegerRule(TO, true),
AttributeRule.newDoubleRule(OFFSET,true),
AttributeRule.newDoubleRule(LOWER, true),
AttributeRule.newDoubleRule(UPPER, true),
new ElementRule(Statistic.class, 1, Integer.MAX_VALUE)
})
};
public String getParserDescription() {
return "Calculates the likelihood of some data given some empirically-generated distribution.";
}
public Class getReturnType() {
return Likelihood.class;
}
}