Package net.lifove.clami

Class CLABIPlus

java.lang.Object

net.lifove.clami.CLABI

net.lifove.clami.CLABIPlus

All Implemented Interfaces:

ICLA, ICLAMI

public class CLABIPlus
extends CLABI
implements ICLAMI

This class run for CLABI+.

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, java.lang.String filePath)	Get CLABI result

Methods inherited from class net.lifove.clami.CLABI

getCLABITrainingSet, getCLAMITrainingSet, getLabeling, getPredictedLabels, getProbabiltyOfIdx, 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, java.lang.String filePath)

Get CLABI result

Specified by:

getResult in interface ICLA

Overrides:

getResult in class CLABI

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 CLABI

Parameters:

instances -

percentileCutoff - cutoff percentile for top and bottom clusters

positiveLabel - positive label string value