@Override
public Nonconformity fit(DataFrame x, Vector y) {
Objects.requireNonNull(x, "Input data is required.");
Objects.requireNonNull(y, "Input target is required.");
Check.argument(x.rows() == y.size(), "The size of input data and input target don't match");
Classifier probabilityEstimator = classifier.fit(x, y);
Check.state(
probabilityEstimator != null
&& probabilityEstimator
.getCharacteristics()
.contains(ClassifierCharacteristic.ESTIMATOR),
"The produced classifier can't estimate probabilities");
return new ProbabilityEstimateNonconformity(probabilityEstimator, errorFunction);
}
