/**
* builds the necessary datasets from the given Instances
*
* @throws Exception if anything goes wrong
*/
protected void generateSets() throws Exception {
Instances instances;
Instance instance;
instances = new Instances(m_Testset, 0);
for (int i = 0; i < m_Testset.numInstances(); i++) {
instance = (Instance) m_Testset.instance(i).copy();
instance.setClassMissing();
instances.add(instance);
}
m_Testset = instances;
}
private static Instance createInstance(double[] ds, String string, Instances instances) {
int l = ds.length;
// Create the instance
Instance instance = new Instance(1 + l);
instance.setDataset(instances);
for (int i = 1; i <= l; i++) {
instance.setValue(i, ds[i - 1]);
}
if (string == null) {
instance.setClassMissing();
} else {
instance.setClassValue(string);
}
return instance;
}
/**
* Transform - turn [y1,y2,y3,x1,x2] into [y1,y2,x1,x2].
*
* @return transformed Instance
*/
public Instance transform(Instance x, double ypred[]) throws Exception {
x = (Instance) x.copy();
int L = x.classIndex();
int L_c = (paY.length + 1);
x.setDataset(null);
for (int j = 0; j < (L - L_c); j++) {
x.deleteAttributeAt(0);
}
for (int pa : paY) {
// System.out.println("x_["+map[pa]+"] <- "+ypred[pa]);
x.setValue(map[pa], ypred[pa]);
}
x.setDataset(T);
x.setClassMissing();
return x;
}
public Instance buildWekaInstance(QAPair pair) {
double[] query = projector.transform(pair.getQueryList());
double[] answer = projector.transform(pair.getAnswerList());
double[] cosine = {projector.computeCosignSimilarity(query, answer), 0.0};
FastVector attributes = buildCosineAttributes();
Attribute label = (Attribute) attributes.lastElement();
Instances testInstances = new Instances("test", attributes, 1);
testInstances.setClass(label);
Instance example = new Instance(1, cosine);
testInstances.add(example);
example.setDataset(testInstances);
if (!pair.getLabel().equals("-1")) {
example.setClassValue(pair.getLabel());
} else {
example.setClassMissing();
}
return example;
}
