Package net.lifove.clami

Class CLAMIPlus

java.lang.Object
net.lifove.clami.CLAMI
net.lifove.clami.CLAMIPlus
All Implemented Interfaces:
ICLA, ICLAMI
public class CLAMIPlus
extends CLAMI
implements ICLAMI
This class run for CLAMI+.

  • Method Summary

    Modifier and Type Method Description
    weka.core.Instances clustering​(weka.core.Instances instances, double percentileCutoff, java.lang.String positiveLabel)
    To do clustering
    void getResult​(weka.core.Instances instances, double percentileCutoff, java.lang.String positiveLabel, boolean suppress, boolean experimental, boolean isDegree, java.lang.String filePath)
    Get CLAMI result
    void getResult​(weka.core.Instances instances, double percentileCutoff, java.lang.String positiveLabel, boolean suppress, boolean isDegree, java.lang.String filePath)
    Get CLAMI result

    Methods inherited from class net.lifove.clami.CLAMI

    getCLAMITrainingSet, getLabelResult, getPredictedLabels, getResult, printResult

    Methods inherited from class java.lang.Object

    equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    Methods inherited from interface net.lifove.clami.ICLA

    getResult, printResult

    Methods inherited from interface net.lifove.clami.ICLAMI

    getCLAMITrainingSet, getPredictedLabels

  • Method Details

    • getResult

      public void getResult​(weka.core.Instances instances, double percentileCutoff, java.lang.String positiveLabel, boolean suppress, boolean isDegree, java.lang.String filePath)
      Get CLAMI result
      Specified by:
      getResult in interface ICLA
      Overrides:
      getResult in class CLAMI
      Parameters:
      instances -
      percentileCutoff - cutoff percentile for top and bottom clusters
      positiveLabel - positive label string value
      suppress - detailed prediction results
      filePath - : name of the running file

    • getResult

      public void getResult​(weka.core.Instances instances, double percentileCutoff, java.lang.String positiveLabel, boolean suppress, boolean experimental, boolean isDegree, java.lang.String filePath)
      Get CLAMI result
      Parameters:
      instances -
      percentileCutoff - cutoff percentile for top and bottom clusters
      positiveLabel - positive label string value
      suppress - detailed prediction results
      filePath - : name of the running file

    • clustering

      public weka.core.Instances clustering​(weka.core.Instances instances, double percentileCutoff, java.lang.String positiveLabel)
      To do clustering
      Specified by:
      clustering in interface ICLA
      Overrides:
      clustering in class CLAMI
      Parameters:
      instances -
      percentileCutoff - cutoff percentile for top and bottom clusters
      positiveLabel - positive label string value