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Class weka.estimators.NNConditionalEstimator
java.lang.Object
|
+----weka.estimators.NNConditionalEstimator
- public class NNConditionalEstimator
- extends java.lang.Object
- implements ConditionalEstimator
Conditional probability estimator for a numeric domain conditional upon
a numeric domain (using Mahalanobis distance).
- Version:
- $Revision: 1.4 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz)
NNConditionalEstimator()
-
addValue(double, double, double)
- Add a new data value to the current estimator.
getEstimator(double)
- Get a probability estimator for a value
getProbability(double, double)
- Get a probability estimate for a value
main(String[])
- Main method for testing this class.
toString()
- Display a representation of this estimator
NNConditionalEstimator
public NNConditionalEstimator()
addValue
public void addValue(double data,
double given,
double weight)
Add a new data value to the current estimator.
- Parameters:
data
- the new data value
given
- the new value that data is conditional upon
weight
- the weight assigned to the data value
getEstimator
public Estimator getEstimator(double given)
Get a probability estimator for a value
- Parameters:
data
- the value to estimate the probability of
given
- the new value that data is conditional upon
- Returns:
- the estimator for the supplied value given the condition
getProbability
public double getProbability(double data,
double given)
Get a probability estimate for a value
- Parameters:
data
- the value to estimate the probability of
given
- the new value that data is conditional upon
- 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
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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