// public static double info_contattr(InstanceList data, Domain targetDomain, QuantitativeDomain
// splitDomain) {
public CondClassDistribution info_contattr(Categorizer visitor) {
List<Instance> data = visitor.getSortedInstances();
QuantitativeDomain splitDomain = visitor.getSplitDomain();
Domain targetDomain = insts_by_target.getClassDomain();
String targetAttr = targetDomain.getFReferenceName();
CondClassDistribution instances_by_attr = new CondClassDistribution(splitDomain, targetDomain);
instances_by_attr.setTotal(data.size());
int index = 0;
int split_index = 0;
Object attr_key = splitDomain.getCategory(split_index);
for (Instance i : data) {
if (index == splitDomain.getSplit(split_index).getIndex() + 1) {
attr_key = splitDomain.getCategory(split_index + 1);
split_index++;
}
Object targetKey = i.getAttrValue(targetAttr);
instances_by_attr.change(attr_key, targetKey, i.getWeight()); // +1
index++;
}
return instances_by_attr;
// double sum = calc_info_attr(instances_by_attr);
// return sum;
}
public double getEval_cont(Domain attr_domain) {
double attribute_eval = 0.0d;
QuantitativeDomain trialDomain = QuantitativeDomain.createFromDomain(attr_domain);
Categorizer visitor = new Categorizer(insts_by_target);
visitor.findSplits(trialDomain);
// trial domain is modified
if (trialDomain.getNumIndices() > 1) {
CondClassDistribution insts_by_attr =
info_contattr(visitor); // .getSortedInstances(), trialDomain);
attribute_eval = data_eval - Entropy.calc_info_attr(insts_by_attr);
}
domain = trialDomain;
sorted_instances = visitor.getSortedInstances();
return multiplier * attribute_eval;
}
