类 KDDataGenerator

java.lang.Object
weka.gui.boundaryvisualizer.KDDataGenerator
所有已实现的接口:
Serializable, DataGenerator

public class KDDataGenerator extends Object implements DataGenerator, Serializable
KDDataGenerator. Class that uses kernels to generate new random instances based on a supplied set of instances.
从以下版本开始:
1.0
版本:
$Revision: 7059 $
作者:
Mark Hall
另请参阅:
  • 构造器详细资料

    • KDDataGenerator

      public KDDataGenerator()
  • 方法详细资料

    • buildGenerator

      public void buildGenerator(Instances inputInstances) throws Exception
      Initialize the generator using the supplied instances
      指定者:
      buildGenerator 在接口中 DataGenerator
      参数:
      inputInstances - the instances to use as the basis of the kernels
      抛出:
      Exception - if an error occurs
    • getWeights

      public double[] getWeights()
      从接口复制的说明: DataGenerator
      Get weights
      指定者:
      getWeights 在接口中 DataGenerator
    • generateInstances

      public double[][] generateInstances(int[] indices) throws Exception
      Generates a new instance using one kernel estimator. Each successive call to this method incremets the index of the kernel to use.
      指定者:
      generateInstances 在接口中 DataGenerator
      返回:
      the new random instance
      抛出:
      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
      指定者:
      setWeightingDimensions 在接口中 DataGenerator
      参数:
      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
      指定者:
      setWeightingValues 在接口中 DataGenerator
      参数:
      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)
      指定者:
      getNumGeneratingModels 在接口中 DataGenerator
      返回:
      the number of kernels
    • setKernelBandwidth

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

      public int getKernelBandwidth()
      Get the kernel bandwidth
      返回:
      an int value
    • setSeed

      public void setSeed(int seed)
      Initializes a new random number generator using the supplied seed.
      指定者:
      setSeed 在接口中 DataGenerator
      参数:
      seed - an int value