content: package com.actelion.research.calc.regression.gaussianprocess;
  
  import com.actelion.research.util.Formatter;
  import com.actelion.research.calc.regression.ConstantsRegressionMethods;
  import com.actelion.research.calc.regression.ParameterRegressionMethod;
  
  import java.io.File;
  import java.io.IOException;
  import java.util.List;
  
  /**
   * ParameterGaussianProcess
   * <p>Modest v. Korff</p>
   * <p>
   * Created by korffmo1 on 01.04.19.
   */
  public class ParameterGaussianProcess extends ParameterRegressionMethod {
  
      public static final String TAG_LAMBDA="Lambda";
  
      public static final double LAMBDA = 0.005;
  
      private double lambda;
  
  
      public ParameterGaussianProcess() {
          super(ConstantsRegressionMethods.MODEL_GAUSSIAN_PROCESS);
          setLambda(LAMBDA);
      }
  
  
      @Override
      public int compareTo(ParameterRegressionMethod o) {
  
          int cmp = 0;
  
          ParameterGaussianProcess p = (ParameterGaussianProcess)o;
  
          return cmp;
      }
  
  
      public double getLambda() {
          return lambda;
      }
  
      public void setLambda(double lambda) {
          this.lambda = lambda;
          properties.put(TAG_LAMBDA, Double.toString(lambda));
      }
  
      @Override
      protected void decodeProperties2Parameter() {
          lambda = Double.parseDouble(properties.getProperty(TAG_LAMBDA));
      }
  
      @Override
      public String toString() {
          final StringBuilder sb = new StringBuilder("ParameterGaussianProcess{");
          sb.append("lambda=").append(Formatter.format3(lambda));
          sb.append('}');
          return sb.toString();
      }
  
      public static List<String> getHeader(){
  
          List<String> li = ParameterRegressionMethod.getHeader();
  
          // li.add(TAG_KERNEL);
          li.add(TAG_LAMBDA);
  
          return li;
      }
  
      public static void main(String[] args) throws IOException {
  
          File dir = new File("/home/korffmo1/tmp/tmp00");
  
          File fiProp = new File(dir, "gaussianProcess.properties");
  
          ParameterGaussianProcess parameter = new ParameterGaussianProcess();
  
          parameter.lambda = 1.123456;
  
          parameter.write(fiProp);
  
          ParameterGaussianProcess parameterIn = new ParameterGaussianProcess();
  
          parameterIn.read(fiProp);
  
          System.out.println(parameterIn.toString());
  
      }
  
  }
  