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## weka.estimators
Class MahalanobisEstimator

    java.lang.Object
      weka.estimators.Estimator
          weka.estimators.MahalanobisEstimator

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, CapabilitiesHandler, OptionHandler, RevisionHandler, IncrementalEstimator

    public class MahalanobisEstimator

extends Estimator
implements IncrementalEstimator

Simple probability estimator that places a single normal distribution over the observed values.

Version:
  $Revision: 5490 $
Author:
  Len Trigg (trigg@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`MahalanobisEstimator(Matrix covariance, double constDelta, double valueMean)` Constructor

Method Summary
`void` | `addValue(double data, double weight)` Add a new data value to the current estimator.
`Capabilities` | `getCapabilities()` Returns default capabilities of the classifier.
`double` | `getProbability(double data)` 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 weka.estimators.Estimator
`addValues, addValues, addValues, addValues, buildEstimator, buildEstimator, clone, debugTipText, equals, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions, testCapabilities`

Methods inherited from class java.lang.Object
`getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### MahalanobisEstimator

    public MahalanobisEstimator(Matrix covariance,
                                double constDelta,
                                double valueMean)

  Constructor

  Parameters:
    `covariance` -
    `constDelta` -
    `valueMean` -

Method Detail

### 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.

  Specified by:
    `addValue` in interface `IncrementalEstimator`
  Overrides:
    `addValue` in class `Estimator`
  Parameters:
    `data` - the new data value
    `weight` - the weight assigned to the data value

### getProbability

    public double getProbability(double data)

  Get a probability estimate for a value

  Specified by:
    `getProbability` in class `Estimator`
  Parameters:
    `data` - the value to estimate the probability of
  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`

### getCapabilities

    public Capabilities getCapabilities()

  Returns default capabilities of the classifier.

  Specified by:
    `getCapabilities` in interface `CapabilitiesHandler`
  Overrides:
    `getCapabilities` in class `Estimator`
  Returns:
    the capabilities of this classifier
  See Also:
    `Capabilities`

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Overrides:
    `getRevision` in class `Estimator`
  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 numeric values

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