use of dr.inference.operators.LoadingsGibbsOperator in project beast-mcmc by beast-dev.
the class LoadingsGibbsOperatorParser method parseXMLObject.
@Override
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
String weightTemp = (String) xo.getAttribute(WEIGHT);
double weight = Double.parseDouble(weightTemp);
LatentFactorModel LFM = (LatentFactorModel) xo.getChild(LatentFactorModel.class);
DistributionLikelihood prior = (DistributionLikelihood) xo.getChild(DistributionLikelihood.class);
MomentDistributionModel prior2 = (MomentDistributionModel) xo.getChild(MomentDistributionModel.class);
DistributionLikelihood cutoffPrior = null;
if (xo.hasChildNamed(CUTOFF_PRIOR)) {
cutoffPrior = (DistributionLikelihood) xo.getChild(CUTOFF_PRIOR).getChild(DistributionLikelihood.class);
}
boolean randomScan = xo.getAttribute(RANDOM_SCAN, true);
int numThreads = xo.getAttribute(NUM_THREADS, 4);
MatrixParameterInterface loadings = null;
if (xo.getChild(MatrixParameterInterface.class) != null) {
loadings = (MatrixParameterInterface) xo.getChild(MatrixParameterInterface.class);
}
DistributionLikelihood WorkingPrior = null;
if (xo.getChild(WORKING_PRIOR) != null) {
System.out.println("here");
WorkingPrior = (DistributionLikelihood) xo.getChild(WORKING_PRIOR).getChild(DistributionLikelihood.class);
}
boolean multiThreaded = xo.getAttribute(MULTI_THREADED, false);
if (prior != null)
//To change body of implemented methods use File | Settings | File Templates.
return new LoadingsGibbsOperator(LFM, prior, weight, randomScan, WorkingPrior, multiThreaded, numThreads);
else
return new LoadingsGibbsTruncatedOperator(LFM, prior2, weight, randomScan, loadings, cutoffPrior);
}
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