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Interface weka.gui.boundaryvisualizer.DataGenerator

public interface DataGenerator

Since:

1.0

Version:

$Revision: 1.3 $

Author:

Mark Hall

buildGenerator(Instances)

Build the data generator

generateInstances(int[])

Generate an instance.

getNumGeneratingModels()

Returns the number of generating models used by this DataGenerator

getWeights()

Get weights

setSeed(int)

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

setWeightingDimensions(boolean[])

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

setWeightingValues(double[])

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

public 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

public 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

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

          Get weights

public 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

public 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

public int getNumGeneratingModels()

          Returns the number of generating models used by this DataGenerator

Returns:

an int value

public void setSeed(int seed)

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

Parameters:

seed - an int value

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