Tools

java.lang.Object

net.lifove.clami.Tools

public class Tools
extends java.lang.Object

Constructor Summary

Constructors

Constructor Description

Tools()

Method Summary

Modifier and Type	Method	Description
`void`	`calculateSpearmanCorrelation(weka.core.Instances instances, weka.core.Instances instancesByCLA)`	Compute correlation between each metrics using Spearman correlation
`void`	`ksTest(weka.core.Instances instancesByCLA, weka.core.Instances instances, double percentileCutoff, java.lang.String positiveLabel)`	Compute number of max vote, value of max vote using ks-test
`double`	`selectPercentileCutoff(weka.core.Instances instances, java.lang.String positiveLabel, weka.core.Instances instancesByCLA, double score, double totalViolation, double sum)`	Return percentile cutoff

Methods inherited from class java.lang.Object

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

Constructor Details
- Tools
  
  public Tools()
Method Details
- selectPercentileCutoff
  
  public double selectPercentileCutoff(weka.core.Instances instances, java.lang.String positiveLabel, weka.core.Instances instancesByCLA, double score, double totalViolation, double sum)
  
  Return percentile cutoff
  
  Parameters:
  
  instances -
  
  positiveLabel -
  
  instancesByCLA -
  
  score -
  
  totalViolation -
  
  sum -
  
  Returns:
- ksTest
  
  public void ksTest(weka.core.Instances instancesByCLA, weka.core.Instances instances, double percentileCutoff, java.lang.String positiveLabel)
  
  Compute number of max vote, value of max vote using ks-test
  
  Parameters:
  
  instancesByCLA -
  
  instances -
  
  percentileCutoff -
  
  positiveLabel -
- calculateSpearmanCorrelation
  
  public void calculateSpearmanCorrelation(weka.core.Instances instances, weka.core.Instances instancesByCLA)
  
  Compute correlation between each metrics using Spearman correlation
  
  Parameters:
  
  instances -
  
  instancesByCLA -