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Class weka.estimators.DiscreteEstimator

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

public class DiscreteEstimator
extends java.lang.Object
implements Estimator
Simple symbolic probability estimator based on symbol counts.

Version:
$Revision: 1.4 $
Author:
Len Trigg (trigg@cs.waikato.ac.nz)

Constructor Index

 o DiscreteEstimator(int, boolean)
Constructor

Method Index

 o addValue(double, double)
Add a new data value to the current estimator.
 o getNumSymbols()
Gets the number of symbols this estimator operates with
 o getProbability(double)
Get a probability estimate for a value
 o main(String[])
Main method for testing this class.
 o toString()
Display a representation of this estimator

Constructor Detail

 o DiscreteEstimator
public DiscreteEstimator(int numSymbols,
                         boolean laplace)
          Constructor
Parameters:
numSymbols - the number of possible symbols (remember to include 0)
laplace - if true, counts will be initialised to 1

Method Detail

 o addValue
public void addValue(double data,
                     double weight)
          Add a new data value to the current estimator.
Parameters:
data - the new data value
weight - the weight assigned to the data value
 o getProbability
public double getProbability(double data)
          Get a probability estimate for a value
Parameters:
data - the value to estimate the probability of
Returns:
the estimated probability of the supplied value
 o getNumSymbols
public int getNumSymbols()
          Gets the number of symbols this estimator operates with
Returns:
the number of estimator symbols
 o toString
public java.lang.String toString()
          Display a representation of this estimator
Overrides:
toString in class java.lang.Object
 o main
public static void main(java.lang.String argv[])
          Main method for testing this class.
Parameters:
argv - should contain a sequence of integers which will be treated as symbolic.

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