Java weka.filters.unsupervised.attribute Discretize fields, constructors, methods, implement or subclass

Example usage for Java weka.filters.unsupervised.attribute Discretize fields, constructors, methods, implement or subclass

Introduction

In this page you can find the methods, fields and constructors for weka.filters.unsupervised.attribute Discretize.

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weka.filters.unsupervised.attribute.Discretize has subclasses.
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	Discretize() Constructor - initialises the filter
	Discretize(String cols) Another constructor, sets the attribute indices immediately

int	getBins() Gets the number of bins numeric attributes will be divided into
double[]	getCutPoints(int attributeIndex) Gets the cut points for an attribute
boolean	input(Instance instance) Input an instance for filtering.
void	setBins(int numBins) Sets the number of bins to divide each selected numeric attribute into
boolean	setInputFormat(Instances instanceInfo) Sets the format of the input instances.
void	setOptions(String[] options) Parses a given list of options.
void	setUseEqualFrequency(boolean newUseEqualFrequency) Set the value of UseEqualFrequency.