public class MahalanobisEstimator extends Estimator implements IncrementalEstimator
Constructor and Description |
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MahalanobisEstimator(Matrix covariance,
double constDelta,
double valueMean)
Constructor
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Modifier and Type | Method and Description |
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void |
addValue(double data,
double weight)
Add a new data value to the current estimator.
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Capabilities |
getCapabilities()
Returns default capabilities of the classifier.
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double |
getProbability(double data)
Get a probability estimate for a value
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java.lang.String |
getRevision()
Returns the revision string.
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static void |
main(java.lang.String[] argv)
Main method for testing this class.
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java.lang.String |
toString()
Display a representation of this estimator
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addValues, addValues, addValues, addValues, buildEstimator, buildEstimator, clone, debugTipText, equals, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions, testCapabilities
public MahalanobisEstimator(Matrix covariance, double constDelta, double valueMean)
covariance
- constDelta
- valueMean
- public void addValue(double data, double weight)
addValue
in interface IncrementalEstimator
addValue
in class Estimator
data
- the new data valueweight
- the weight assigned to the data valuepublic double getProbability(double data)
getProbability
in class Estimator
data
- the value to estimate the probability ofpublic java.lang.String toString()
toString
in class java.lang.Object
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class Estimator
Capabilities
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
public static void main(java.lang.String[] argv)
argv
- should contain a sequence of numeric values