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Class weka.estimators.DiscreteEstimator
java.lang.Object
|
+----weka.estimators.DiscreteEstimator
- public class DiscreteEstimator
- extends java.lang.Object
- implements Estimator
Simple symbolic probability estimator based on symbol counts.
- Version:
- $Revision: 1.4 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz)
DiscreteEstimator(int, boolean)
- Constructor
addValue(double, double)
- Add a new data value to the current estimator.
getNumSymbols()
- Gets the number of symbols this estimator operates with
getProbability(double)
- Get a probability estimate for a value
main(String[])
- Main method for testing this class.
toString()
- Display a representation of this estimator
DiscreteEstimator
public DiscreteEstimator(int numSymbols,
boolean laplace)
Constructor
- Parameters:
numSymbols
- the number of possible symbols (remember to include 0)
laplace
- if true, counts will be initialised to 1
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
getNumSymbols
public int getNumSymbols()
Gets the number of symbols this estimator operates with
- Returns:
- the number of estimator symbols
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 integers which
will be treated as symbolic.
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