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java.lang.Objectweka.estimators.MahalanobisEstimator
public class MahalanobisEstimator
Simple probability estimator that places a single normal distribution over the observed values.
| Constructor Summary | |
|---|---|
MahalanobisEstimator(Matrix covariance,
double constDelta,
double valueMean)
Constructor |
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| Method Summary | |
|---|---|
void |
addValue(double data,
double weight)
Add a new data value to the current estimator. |
double |
getProbability(double data)
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 |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public MahalanobisEstimator(Matrix covariance,
double constDelta,
double valueMean)
the - number of possible symbols| Method Detail |
|---|
public void addValue(double data,
double weight)
addValue in interface Estimatordata - the new data valueweight - the weight assigned to the data valuepublic double getProbability(double data)
getProbability in interface Estimatordata - the value to estimate the probability of
public java.lang.String toString()
toString in class java.lang.Objectpublic static void main(java.lang.String[] argv)
argv - should contain a sequence of numeric values
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