docs: public LinearClassifier<L, F> trainClassifierV(GeneralDataset<L, F> train, GeneralDataset<L, F> validation, double min, double max, boolean accuracy) {
      labelIndex = train.labelIndex();
      featureIndex = train.featureIndex();
      this.min = min;
      this.max = max;
      heldOutSetSigma(train, validation);
      double[][] weights = trainWeights(train);
      return new LinearClassifier<L, F>(weights, train.featureIndex(), train.labelIndex());
    }