weka.estimators
Class KernelEstimator
java.lang.Object
|
+--weka.estimators.KernelEstimator
- All Implemented Interfaces:
- Estimator, java.io.Serializable
- public class KernelEstimator
- extends java.lang.Object
- implements Estimator
Simple kernel density estimator. Uses one gaussian kernel per observed
data value.
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz)
- See Also:
- Serialized Form
Constructor Summary |
KernelEstimator(double precision)
Constructor that takes a precision argument. |
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 |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
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.
- Specified by:
addValue
in interface Estimator
- Parameters:
data
- the new data valueweight
- the weight assigned to the data value
getProbability
public double getProbability(double data)
- Get a probability estimate for a value.
- Specified by:
getProbability
in interface 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
main
public static void main(java.lang.String[] argv)
- Main method for testing this class.
- Parameters:
argv
- should contain a sequence of numeric values