public CategoricalResults classify(DataPoint data) {
if (coefficents == null) throw new UntrainedModelException("Model has not yet been trained");
else if (shift != 0 || scale != 1)
throw new UntrainedModelException("Model was trained for regression, not classifiaction");
CategoricalResults results = new CategoricalResults(2);
// It looks a little backwards. But if the true class is 0, and we are accurate, then we expect
// regress to return a value near zero.
results.setProb(1, regress(data));
results.setProb(0, 1.0 - results.getProb(1));
return results;
}
