Package weka.estimators

Class KDConditionalEstimator

  • All Implemented Interfaces:
    RevisionHandler, ConditionalEstimator
    public class KDConditionalEstimator
extends java.lang.Object
implements ConditionalEstimator
    Conditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate kernel estimators for each discrete conditioning value).
    Version:
    $Revision: 1.8 $
    Author:
    Len Trigg (trigg@cs.waikato.ac.nz)

    • Constructor Summary

      Constructors 
      Constructor Description
      KDConditionalEstimator​(int numCondSymbols, double precision)
      Constructor

    • Method Summary

      All Methods Static Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void addValue​(double data, double given, double weight)
      Add a new data value to the current estimator.
      Estimator getEstimator​(double given)
      Get a probability estimator for a value
      double getProbability​(double data, double given)
      Get a probability estimate for a value
      java.lang.String getRevision()
      Returns the revision string.
      static void main​(java.lang.String[] argv)
      Main method for testing this class.
      java.lang.String toString()
      Display a representation of this estimator

      • Methods inherited from class java.lang.Object

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

    • Constructor Detail

      • KDConditionalEstimator

        public KDConditionalEstimator​(int numCondSymbols,
                              double precision)
        Constructor
        Parameters:
        numCondSymbols - the number of conditioning symbols
        precision - the precision to which numeric values are given. For example, if the precision is stated to be 0.1, the values in the interval (0.25,0.35] are all treated as 0.3.

    • Method Detail

      • addValue

        public void addValue​(double data,
                     double given,
                     double weight)
        Add a new data value to the current estimator.
        Specified by:
        addValue in interface ConditionalEstimator
        Parameters:
        data - the new data value
        given - the new value that data is conditional upon
        weight - the weight assigned to the data value

      • getEstimator

        public Estimator getEstimator​(double given)
        Get a probability estimator for a value
        Specified by:
        getEstimator in interface ConditionalEstimator
        Parameters:
        given - the new value that data is conditional upon
        Returns:
        the estimator for the supplied value given the condition

      • getProbability

        public double getProbability​(double data,
                             double given)
        Get a probability estimate for a value
        Specified by:
        getProbability in interface ConditionalEstimator
        Parameters:
        data - the value to estimate the probability of
        given - the new value that data is conditional upon
        Returns:
        the estimated probability of the supplied value

      • toString

        public java.lang.String toString()
        Display a representation of this estimator
        Overrides:
        toString in class java.lang.Object

      • getRevision

        public java.lang.String getRevision()
        Returns the revision string.
        Specified by:
        getRevision in interface RevisionHandler
        Returns:
        the revision

      • main

        public static void main​(java.lang.String[] argv)
        Main method for testing this class.
        Parameters:
        argv - should contain a sequence of pairs of integers which will be treated as numeric, symbolic.