Package weka.estimators

Class NDConditionalEstimator

java.lang.Object
weka.estimators.NDConditionalEstimator
All Implemented Interfaces:
RevisionHandler, ConditionalEstimator
public class NDConditionalEstimator extends Object implements ConditionalEstimator
Conditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate normal estimators for each discrete conditioning value).
Version:
$Revision: 15521 $
Author:
Len Trigg (trigg@cs.waikato.ac.nz)

  • Constructor Details

    • NDConditionalEstimator

      public NDConditionalEstimator()
      No-arg constructor needed to make WEKA's forName() work. Uses one symbol and precision of 0.01.

    • NDConditionalEstimator

      public NDConditionalEstimator(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 Details

    • 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 String toString()
      Display a representation of this estimator
      Overrides:
      toString in class Object

    • getRevision

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

    • main

      public static void main(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.