public void checkOutput(IOContainer output) throws MissingIOObjectException {
if (similarity.equals("Tree")) {
TreeDistance treedistance = output.get(TreeDistance.class);
for (int i = 0; i < expectedValues.length; i++) {
assertEquals(treedistance.similarity(first[i], second[i]), expectedValues[i]);
}
}
if (similarity.equals("Euclidean")) {
EuclideanDistance euclideandistance = output.get(EuclideanDistance.class);
for (int i = 0; i < expectedValues.length; i++) {
assertEquals(euclideandistance.similarity(first[i], second[i]), expectedValues[i]);
}
}
if (similarity.equals("Comparator")) {
PerformanceVector performancevector = output.get(PerformanceVector.class);
assertEquals(
expectedValues[0], performancevector.getCriterion("similarity").getAverage(), 0.00001);
}
}
/**
* Applies the applier and evaluator (= second encapsulated inner operator). In order to reuse
* possibly created predicted label attributes, we do the following: We compare the predicted
* label of <code>testSet</code> before and after applying the inner operator. If it changed, the
* predicted label is removed again. No outer operator could ever see it. The same applies for the
* confidence attributes in case of classification learning.
*/
public IOContainer evaluate(ExampleSet testSet, IOContainer learnResult)
throws OperatorException {
if (learnResult == null) {
throw new RuntimeException(
"Wrong use of ValidationChain.evaluate(ExampleSet): "
+ "No preceding invocation of learn(ExampleSet)!");
}
Attribute predictedBefore = testSet.getAttributes().getPredictedLabel();
IOContainer evalInput = learnResult.append(new IOObject[] {testSet});
IOContainer result = getEvaluator().apply(evalInput);
Attribute predictedAfter = testSet.getAttributes().getPredictedLabel();
// remove predicted label and confidence attributes if there is a new prediction which is not
// equal to an old one
if ((predictedAfter != null)
&& ((predictedBefore == null)
|| (predictedBefore.getTableIndex() != predictedAfter.getTableIndex()))) {
PredictionModel.removePredictedLabel(testSet);
}
return result;
}