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Class weka.estimators.MahalanobisEstimator

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

public class MahalanobisEstimator
extends java.lang.Object
implements Estimator
Simple probability estimator that places a single normal distribution over the observed values.

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

Constructor Index

 o MahalanobisEstimator(Matrix, double, double)
Constructor

Method Index

 o addValue(double, double)
Add a new data value to the current estimator.
 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 MahalanobisEstimator
public MahalanobisEstimator(Matrix covariance,
                            double constDelta,
                            double valueMean)
          Constructor
Parameters:
the - number of possible symbols

Method Detail

 o addValue
public void addValue(double data,
                     double weight)
          Add a new data value to the current estimator. Does nothing because the data is provided in the constructor.
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 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 numeric values

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