weka.estimators
Class NDConditionalEstimator

java.lang.Object
  |
  +--weka.estimators.NDConditionalEstimator

All Implemented Interfaces:

ConditionalEstimator

public class NDConditionalEstimator

extends java.lang.Object

implements ConditionalEstimator

Conditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate normal estimators for each discrete conditioning value).

Author:

Len Trigg (trigg@cs.waikato.ac.nz)

Constructor Summary

NDConditionalEstimator(int numCondSymbols, double precision)
Constructor

Method Summary

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
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

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

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 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:

data - the value to estimate the probability of

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

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.