Package weka.gui.boundaryvisualizer

Class KDDataGenerator

  • All Implemented Interfaces:
    java.io.Serializable, DataGenerator
    public class KDDataGenerator
extends java.lang.Object
implements DataGenerator, java.io.Serializable
    KDDataGenerator. Class that uses kernels to generate new random instances based on a supplied set of instances.
    Since:
    1.0
    Version:
    $Revision: 7059 $
    Author:
    Mark Hall
    See Also:
    DataGenerator, Serializable, Serialized Form

    • Constructor Summary

      Constructors 
      Constructor Description
      KDDataGenerator()  

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void buildGenerator​(Instances inputInstances)
      Initialize the generator using the supplied instances
      double[][] generateInstances​(int[] indices)
      Generates a new instance using one kernel estimator.
      int getKernelBandwidth()
      Get the kernel bandwidth
      int getNumGeneratingModels()
      Return the number of kernels (there is one per training instance)
      double[] getWeights()
      Get weights
      void setKernelBandwidth​(int kb)
      Set the kernel bandwidth (number of nearest neighbours to cover)
      void setSeed​(int seed)
      Initializes a new random number generator using the supplied seed.
      void setWeightingDimensions​(boolean[] dims)
      Set which dimensions to use when computing a weight for the next instance to generate
      void setWeightingValues​(double[] vals)
      Set the values for the weighting dimensions to be used when computing the weight for the next instance to be generated

      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

      • KDDataGenerator

        public KDDataGenerator()

    • Method Detail

      • buildGenerator

        public void buildGenerator​(Instances inputInstances)
                    throws java.lang.Exception
        Initialize the generator using the supplied instances
        Specified by:
        buildGenerator in interface DataGenerator
        Parameters:
        inputInstances - the instances to use as the basis of the kernels
        Throws:
        java.lang.Exception - if an error occurs

      • generateInstances

        public double[][] generateInstances​(int[] indices)
                             throws java.lang.Exception
        Generates a new instance using one kernel estimator. Each successive call to this method incremets the index of the kernel to use.
        Specified by:
        generateInstances in interface DataGenerator
        Returns:
        the new random instance
        Throws:
        java.lang.Exception - if an error occurs

      • setWeightingDimensions

        public void setWeightingDimensions​(boolean[] dims)
        Set which dimensions to use when computing a weight for the next instance to generate
        Specified by:
        setWeightingDimensions in interface DataGenerator
        Parameters:
        dims - an array of booleans indicating which dimensions to use

      • setWeightingValues

        public void setWeightingValues​(double[] vals)
        Set the values for the weighting dimensions to be used when computing the weight for the next instance to be generated
        Specified by:
        setWeightingValues in interface DataGenerator
        Parameters:
        vals - an array of doubles containing the values of the weighting dimensions (corresponding to the entries that are set to true throw setWeightingDimensions)

      • getNumGeneratingModels

        public int getNumGeneratingModels()
        Return the number of kernels (there is one per training instance)
        Specified by:
        getNumGeneratingModels in interface DataGenerator
        Returns:
        the number of kernels

      • setKernelBandwidth

        public void setKernelBandwidth​(int kb)
        Set the kernel bandwidth (number of nearest neighbours to cover)
        Parameters:
        kb - an int value

      • getKernelBandwidth

        public int getKernelBandwidth()
        Get the kernel bandwidth
        Returns:
        an int value

      • setSeed

        public void setSeed​(int seed)
        Initializes a new random number generator using the supplied seed.
        Specified by:
        setSeed in interface DataGenerator
        Parameters:
        seed - an int value