public void transferWeights(MLNModel weightModel, boolean skipLE) {
List<MLNFormula> formulasToRemove = new ArrayList<MLNFormula>();
boolean transfered;
List<MLNFormula> formulasToAdd = new ArrayList<MLNFormula>();
for (MLNFormula weightFormula : weightModel.getWeightedFormulas()) {
transfered = false;
if (weightFormula.getProbabilityWeight() != null
|| weightFormula.getUtilityWeight() != null) {
for (MLNFormula targetFormula : getAll(MLNFormula.class)) {
if (weightFormula
.getPlainFormula()
.contentEquals(targetFormula.getPlainFormula(), false, false)) {
targetFormula.setProbabilityWeight(weightFormula.getProbabilityWeight());
targetFormula.setUtilityWeight(weightFormula.getUtilityWeight());
transfered = true;
break;
} else if (!targetFormula.isHardRule() && targetFormula.getProbabilityWeight() == null)
targetFormula.setProbabilityWeight(buildMLNWeight(0.0));
}
}
if (!transfered) {
formulasToAdd.add(weightFormula);
}
}
for (MLNFormula quantifiedFormula : getQuantifiedFormulas()) {
if (quantifiedFormula.getPlainFormula() != null
&& quantifiedFormula.getPlainFormula().getQuantification() != null
&& quantifiedFormula
.getPlainFormula()
.getQuantification()
.getRelation()
.equals(MLNRelation.LE)
&& skipLE) {
formulasToRemove.add(quantifiedFormula);
}
}
for (MLNFormula formula : formulasToRemove) removeMlnObject(formula);
for (MLNFormula formula : formulasToAdd) {
addMlnObject(formula);
}
}
public void removeUnusedPredicates() {
for (MLNPredicate predicate : unusedPredicates) {
removeMlnObject(predicate);
}
}
