/* * 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; } }