weka.gui.boundaryvisualizer

Interface DataGenerator

All Known Implementing Classes:

KDDataGenerator

public interface DataGenerator

Interface to something that can generate new instances based on a set of input instances

Since:

1.0

Version:

$Revision: 8034 $

Author:

Mark Hall

Method Summary

Modifier and Type	Method and Description
void	buildGenerator(Instances inputInstances) Build the data generator
double[][]	generateInstances(int[] indices) Generate an instance.
int	getNumGeneratingModels() Returns the number of generating models used by this DataGenerator
double[]	getWeights() Get weights
void	setSeed(int seed) Set a seed for random number generation (if needed).
void	setWeightingDimensions(boolean[] dimensions) Set the dimensions to be used in computing a weight for each instance generated
void	setWeightingValues(double[] vals) Set the values of the dimensions (chosen via setWeightingDimensions) to be used when computing instance weights

Method Detail

buildGenerator

void buildGenerator(Instances inputInstances)
             throws java.lang.Exception

Build the data generator

Parameters:

inputInstances - Instances to build the generator from

Throws:

java.lang.Exception - if an error occurs

generateInstances

double[][] generateInstances(int[] indices)
                      throws java.lang.Exception

Generate an instance. Should return a new Instance object

Returns:

an Instance value

Throws:

java.lang.Exception - if an error occurs

getWeights

double[] getWeights()
             throws java.lang.Exception

Get weights

Throws:

java.lang.Exception

setWeightingDimensions

void setWeightingDimensions(boolean[] dimensions)

Set the dimensions to be used in computing a weight for each instance generated

Parameters:

dimensions - an array of booleans specifying the dimensions to be used when computing instance weights

setWeightingValues

void setWeightingValues(double[] vals)

Set the values of the dimensions (chosen via setWeightingDimensions) to be used when computing instance weights

Parameters:

vals - a double[] value

getNumGeneratingModels

int getNumGeneratingModels()

Returns the number of generating models used by this DataGenerator

Returns:

an int value

setSeed

void setSeed(int seed)

Set a seed for random number generation (if needed).

Parameters:

seed - an int value