java.lang.Object
- weka.classifiers.bayes.net.estimate.BayesNetEstimator
- - weka.classifiers.bayes.net.estimate.SimpleEstimator

All Implemented Interfaces:

java.io.Serializable, OptionHandler, RevisionHandler

Direct Known Subclasses:

BMAEstimator
```
public class SimpleEstimator
extends BayesNetEstimator
```
SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been learned. Estimates probabilities directly from data.
Valid options are:
```
 -A <alpha>
  Initial count (alpha)
 
```
Version:

$Revision: 1.6 $

Author:

Remco Bouckaert (rrb@xm.co.nz)

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

SimpleEstimator()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double[]`	`distributionForInstance(BayesNet bayesNet, Instance instance)`	Calculates the class membership probabilities for the given test instance.
`void`	`estimateCPTs(BayesNet bayesNet)`	estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
`java.lang.String`	`getRevision()`	Returns the revision string.
`java.lang.String`	`globalInfo()`	Returns a string describing this object
`void`	`initCPTs(BayesNet bayesNet)`	initCPTs reserves space for CPTs and set all counts to zero
`void`	`updateClassifier(BayesNet bayesNet, Instance instance)`	Updates the classifier with the given instance.

Methods inherited from class weka.classifiers.bayes.net.estimate.BayesNetEstimator
alphaTipText, getAlpha, getOptions, listOptions, setAlpha, setOptions

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - SimpleEstimator
```
public SimpleEstimator()
```
- Method Detail
  - globalInfo
```
public java.lang.String globalInfo()
```
    Returns a string describing this object
    
    Overrides:
    
    globalInfo in class BayesNetEstimator
    
    Returns:
    
    a description of the classifier suitable for displaying in the explorer/experimenter gui
  - estimateCPTs
```
public void estimateCPTs(BayesNet bayesNet)
                  throws java.lang.Exception
```
    estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
    
    Overrides:
    
    estimateCPTs in class BayesNetEstimator
    
    Parameters:
    
    bayesNet - the bayes net to use
    
    Throws:
    
    java.lang.Exception - if something goes wrong
  - updateClassifier
```
public void updateClassifier(BayesNet bayesNet,
                             Instance instance)
                      throws java.lang.Exception
```
    Updates the classifier with the given instance.
    
    Overrides:
    
    updateClassifier in class BayesNetEstimator
    
    Parameters:
    
    bayesNet - the bayes net to use
    
    instance - the new training instance to include in the model
    
    Throws:
    
    java.lang.Exception - if the instance could not be incorporated in the model.
  - initCPTs
```
public void initCPTs(BayesNet bayesNet)
              throws java.lang.Exception
```
    initCPTs reserves space for CPTs and set all counts to zero
    
    Overrides:
    
    initCPTs in class BayesNetEstimator
    
    Parameters:
    
    bayesNet - the bayes net to use
    
    Throws:
    
    java.lang.Exception - if something goes wrong
  - distributionForInstance
```
public double[] distributionForInstance(BayesNet bayesNet,
                                        Instance instance)
                                 throws java.lang.Exception
```
    Calculates the class membership probabilities for the given test instance.
    
    Overrides:
    
    distributionForInstance in class BayesNetEstimator
    
    Parameters:
    
    bayesNet - the bayes net to use
    
    instance - the instance to be classified
    
    Returns:
    
    predicted class probability distribution
    
    Throws:
    
    java.lang.Exception - if there is a problem generating the prediction
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Overrides:
    
    getRevision in class BayesNetEstimator
    
    Returns:
    
    the revision

Class SimpleEstimator

Constructor Summary

Method Summary

Methods inherited from class weka.classifiers.bayes.net.estimate.BayesNetEstimator

Methods inherited from class java.lang.Object

Constructor Detail

SimpleEstimator

Method Detail

globalInfo

estimateCPTs

updateClassifier

initCPTs

distributionForInstance

getRevision