public void computeAuxiliary(
ObservationsReader observations, CandidateSelectionPolicy candidateSelectionPolicy) {
if (this.auxiliary != null) {
throw new IllegalStateException("Auxiliary was already set");
}
this.auxiliary =
new ICEstimateAuxiliary(originalModel.getSn(), observations, candidateSelectionPolicy);
}
/**
* Computes and stores the partial fraction of covered propagations.
*
* <p>Works only if {@link #computeFractionOfPropagations} is true, otherwise does nothing.
*
* @param observations the observations
* @param newProbs the probabilities of the current model
* @param i a number indicating the number of edges so far
*/
protected void computeAndStorePartialFractionOfPropagations(
ObservationsReader observations, SparseDoubleMatrix2D newProbs, int i) {
if (computeFractionOfPropagations) {
ICModel tempModel = new ICModel(originalModel.getSn(), newProbs);
double sparsifiedFraction = tempModel.getTotalFraction(observations);
storePartialResult(Measure.FRACTION_OF_PROPAGATIONS, i, sparsifiedFraction);
}
}
protected double computeAndStorePartialLogLikelihood(int k, SparseDoubleMatrix2D newProbs) {
ICModel model = new ICModel(originalModel.getSn(), newProbs);
double logLikelihood = model.getLogLikelihoodIgnoringParentInformation(auxiliary);
storePartialResult(Measure.LOG_L, k, logLikelihood);
return logLikelihood;
}