content: package com.actelion.research.calc.regression;
  
  /**
   * ConstantsRegressionMethods
   * <p>Modest v. Korff</p>
   * <p>
   * Created by korffmo1 on 28.11.18.
   */
  public class ConstantsRegressionMethods {
  
      public static final String  MODEL_PLS = "PLS";
      public static final String  MODEL_PLS_POWER = "PLS Power";
      public static final String  MODEL_MEDIAN = "Median";
      public static final String  MODEL_KNN = "KNN regression";
      public static final String  MODEL_SVM = "SVM regression";
      public static final String  MODEL_RND_FOREST = "Random Forest regression";
      public static final String  MODEL_GAUSSIAN_PROCESS = "Gaussian process regression";
      public static final String  MODEL_NEURAL_NETWORK = "Neural network regression";
  
      // method code that is guaranteed to stay unchanged for all time
      public static final String [] ARR_MODEL_CODE = {"pls", "plsPower", "knn", "svm"};
      public static final String [] ARR_MODEL = {MODEL_PLS, MODEL_PLS_POWER, MODEL_KNN, MODEL_SVM};
      public static final int DEFAULT_MODEL = 3;
  
      public static final String  RESULT_EVALUATOR_BALANCED_R2_TRAIN_TEST = "BalancedR2TrainTest";
  
      public static final String  RESULT_EVALUATOR_MAXIMUM_R2_TEST = "MaximumR2Test";
  
      public static final String [] ARR_RESULT_EVALUATOR = {RESULT_EVALUATOR_BALANCED_R2_TRAIN_TEST, RESULT_EVALUATOR_MAXIMUM_R2_TEST};
  
  }
  