edu::tum::cs::bayesnets::core::WEKADiscretizationFilter Class Reference

Inheritance diagram for edu::tum::cs::bayesnets::core::WEKADiscretizationFilter:

Public Member Functions
void	addOutputValue (String outputValue)
double	getExampleValue (int bin)
double[]	getIntervals (int bin)
String[]	getOutputValues ()
String	getValueForContinuous (double continuous)
Protected Attributes
Filter	filter
String[]	outputValues
Package Functions
public< F extends Filter >	WEKADiscretizationFilter (F filter, FilterNamer<?super F > namer)

Detailed Description

An instance of the class WEKADiscretizationFilter represents a discretization filter based on a clusterer.

Definition at line 15 of file WEKADiscretizationFilter.java.

Constructor & Destructor Documentation

public<F extends Filter> edu::tum::cs::bayesnets::core::WEKADiscretizationFilter::WEKADiscretizationFilter	(	F	filter,
		FilterNamer<?super F >	namer
	)			`[inline, package]`

Construct an instance of WEKADiscretizationFilter given a filter and a namer for the filter.

Parameters:

	<F>	the filter type.
	filter	the filter.
	namer	the filter namer corresponding to the given filter.

Definition at line 32 of file WEKADiscretizationFilter.java.

Member Function Documentation

void edu::tum::cs::bayesnets::core::WEKADiscretizationFilter::addOutputValue ( String outputValue ) [inline]

Add output values for the discretization filter. This should add e.g. split points parsed from the outputValue to recreate the domain from the output Values.

Parameters:

outputValue

the outputValue to add.

Implements edu::tum::cs::bayesnets::core::DiscretizationFilter.

Definition at line 68 of file WEKADiscretizationFilter.java.

double edu::tum::cs::bayesnets::core::WEKADiscretizationFilter::getExampleValue ( int bin ) [inline]

Return an example value in the specified discretization bin.

Parameters:

bin

the discretization bin.