public void setDistributionList(List<EF_ConditionalDistribution> distributionList_) {
distributionList = distributionList_;
sizeSS = 0;
for (EF_ConditionalDistribution ef_dist : distributionList) {
sizeSS += ef_dist.sizeOfSufficientStatistics();
}
CompoundVector vectorNatural = this.createEmtpyCompoundVector();
for (EF_ConditionalDistribution dist : distributionList) {
vectorNatural.setVectorByPosition(dist.getVariable().getVarID(), dist.getNaturalParameters());
}
this.naturalParameters = vectorNatural;
this.momentParameters = null;
}
public boolean equal_efBN(EF_BayesianNetwork ef_bayesianNetwork, double threshold) {
for (EF_ConditionalDistribution this_dist : this.getDistributionList()) {
EF_ConditionalDistribution ef_dist =
ef_bayesianNetwork.getDistribution(this_dist.getVariable());
if (!this_dist.getClass().getName().equals(ef_dist.getClass().getName())) return false;
List<Variable> this_Vars = this_dist.getConditioningVariables();
List<Variable> ef_Vars = ef_dist.getConditioningVariables();
if (this_Vars.size() != ef_Vars.size()) return false;
for (Variable var : this_Vars) {
if (!ef_Vars.contains(var)) return false;
}
}
return this.getNaturalParameters()
.equalsVector(ef_bayesianNetwork.getNaturalParameters(), threshold);
}
public EF_BayesianNetwork(BayesianNetwork network) {
distributionList = new ArrayList(network.getNumberOfVars());
sizeSS = 0;
for (ConditionalDistribution dist : network.getConditionalDistributions()) {
EF_ConditionalDistribution ef_dist = dist.toEFConditionalDistribution();
distributionList.add(ef_dist.getVariable().getVarID(), ef_dist);
sizeSS += ef_dist.sizeOfSufficientStatistics();
}
CompoundVector vectorNatural = this.createEmtpyCompoundVector();
for (EF_ConditionalDistribution dist : distributionList) {
vectorNatural.setVectorByPosition(dist.getVariable().getVarID(), dist.getNaturalParameters());
}
this.naturalParameters = vectorNatural;
this.momentParameters = null;
}
public EF_BayesianNetwork(List<ParentSet> parentSets) {
distributionList = new ArrayList(parentSets.size());
sizeSS = 0;
for (ParentSet parentSet : parentSets) {
// ConditionalDistribution dist =
// parentSet.getMainVar().newConditionalDistribution(parentSet.getParents());
// dist.randomInitialization(new Random(0));
EF_ConditionalDistribution ef_dist =
parentSet
.getMainVar()
.getDistributionType()
.newEFConditionalDistribution(parentSet.getParents());
distributionList.add(ef_dist.getVariable().getVarID(), ef_dist);
sizeSS += ef_dist.sizeOfSufficientStatistics();
}
CompoundVector vectorNatural = this.createEmtpyCompoundVector();
for (EF_ConditionalDistribution dist : distributionList) {
vectorNatural.setVectorByPosition(dist.getVariable().getVarID(), dist.getNaturalParameters());
}
this.naturalParameters = vectorNatural;
this.momentParameters = null;
}
