code: package edu.cmu.tetrad.algcomparison.independence;
  
  import edu.cmu.tetrad.annotation.TestOfIndependence;
  import edu.cmu.tetrad.data.DataModel;
  import edu.cmu.tetrad.data.DataType;
  import edu.cmu.tetrad.data.DataUtils;
  import edu.cmu.tetrad.search.IndependenceTest;
  import edu.cmu.tetrad.util.Parameters;
  
  import java.util.ArrayList;
  import java.util.List;
  
  /**
   * Wrapper for Fisher Z test.
   *
   * @author jdramsey
   */
  @TestOfIndependence(
          name = "Kernel Independence Test",
          command = "kci",
          dataType = DataType.Continuous
  )
  public class Kci implements IndependenceWrapper {
  
      static final long serialVersionUID = 23L;
  
  
      @Override
      public IndependenceTest getTest(DataModel dataSet, Parameters parameters) {
          final edu.cmu.tetrad.search.Kci kci = new edu.cmu.tetrad.search.Kci(DataUtils.getContinuousDataSet(dataSet),
                  parameters.getDouble("alpha"));
          kci.setApproximate(parameters.getBoolean("kciUseAppromation"));
          kci.setWidthMultiplier(parameters.getDouble("kernelMultiplier"));
          kci.setNumBootstraps(parameters.getInt("kciNumBootstraps"));
          kci.setThreshold(parameters.getDouble("thresholdForNumEigenvalues"));
          kci.setEpsilon(parameters.getDouble("kciEpsilon"));
          return kci;
      }
  
      @Override
      public String getDescription() {
          return "KCI";
      }
  
      @Override
      public DataType getDataType() {
          return DataType.Continuous;
      }
  
      @Override
      public List<String> getParameters() {
          List<String> params = new ArrayList<>();
          params.add("kciUseAppromation");
          params.add("alpha");
          params.add("kernelMultiplier");
          params.add("kciNumBootstraps");
          params.add("thresholdForNumEigenvalues");
          params.add("kciEpsilon");
          return params;
      }
  }