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Class weka.estimators.KernelEstimator
java.lang.Object
|
+----weka.estimators.KernelEstimator
- public class KernelEstimator
- extends java.lang.Object
- implements Estimator
Simple kernel density estimator. Uses one gaussian kernel per observed
data value.
- Version:
- $Revision: 1.4 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz)
KernelEstimator(double)
- Constructor that takes a precision argument.
addValue(double, double)
- Add a new data value to the current estimator.
getProbability(double)
- Get a probability estimate for a value.
main(String[])
- Main method for testing this class.
toString()
- Display a representation of this estimator
KernelEstimator
public KernelEstimator(double precision)
Constructor that takes a precision argument.
- Parameters:
precision
- the precision to which numeric values are given. For
example, if the precision is stated to be 0.1, the values in the
interval (0.25,0.35] are all treated as 0.3.
addValue
public void addValue(double data,
double weight)
Add a new data value to the current 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.
- 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
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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