edu.ksu.cis.bnj.bbn.learning
Class Learner

java.lang.Object
  edu.ksu.cis.bnj.bbn.learning.Learner

All Implemented Interfaces:

Optionable

Direct Known Subclasses:

CIBasedLearner, PRMk2, ScoreBasedLearner

public abstract class Learner

extends java.lang.Object

implements Optionable

Learning

Author:

Roby Joehanes

Field Summary

protected BBNNode[]	bbnNodes
protected boolean	calculateCPT
protected Data	data
protected java.util.Hashtable	indexTable
static java.lang.String	learnerClassName
static java.lang.String	OPT_CALCULATE_RMSE
protected java.util.Hashtable	options

Fields inherited from interface edu.ksu.cis.kdd.util.gui.Optionable

OPT_OUTPUT_FILE

Constructor Summary

Learner()

Learner(Data t)
Constructor for Learner.

Method Summary

boolean	getCalculateRMSE()
java.util.Hashtable	getCurrentOptions()
Data	getData()
java.util.Hashtable	getDefaultOptions()
abstract BBNGraph	getGraph() The learning algorithm is here
java.lang.String	getName()
OptionGUI	getOptionsDialog()
java.lang.String	getOutputFile()
void	initialize() This method will be invoked prior to getGraph.
boolean	isCalculateCPT()
static Learner	load(java.lang.String className, Data t)
protected BBNGraph	populateNodes()
void	processParameters(java.lang.String[] args)
void	setCalculateCPT(boolean calculateCPT) Sets whether we should calculate the CPT.
void	setCalculateRMSE(boolean b)
void	setData(Data tuples) Sets the tuples.
void	setOption(java.lang.String key, java.lang.Object val)
void	setOptions(java.util.Hashtable optionTable)
void	setOutputFile(java.lang.String fn)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

learnerClassName

public static final java.lang.String learnerClassName

See Also:

Constant Field Values

OPT_CALCULATE_RMSE

public static final java.lang.String OPT_CALCULATE_RMSE

See Also:

Constant Field Values

options

protected java.util.Hashtable options

data

protected Data data

calculateCPT

protected boolean calculateCPT

bbnNodes

protected BBNNode[] bbnNodes

indexTable

protected java.util.Hashtable indexTable

Constructor Detail

Learner

public Learner()

Learner

public Learner(Data t)

Constructor for Learner.

Method Detail

getData

public Data getData()

Returns:

Table

setData

public void setData(Data tuples)

Sets the tuples.

Parameters:

tuples - The tuples to set

initialize

public void initialize()

This method will be invoked prior to getGraph. The purpose is to let the learner object to purge caches and stuff.

getGraph

public abstract BBNGraph getGraph()

The learning algorithm is here

Returns:

BBNGraph

isCalculateCPT

public boolean isCalculateCPT()

Returns:

boolean

setCalculateCPT

public void setCalculateCPT(boolean calculateCPT)

Sets whether we should calculate the CPT.

Parameters:

calculateCPT -

populateNodes

protected BBNGraph populateNodes()

getOptionsDialog

public OptionGUI getOptionsDialog()

Specified by:

getOptionsDialog in interface Optionable

setOptions

public void setOptions(java.util.Hashtable optionTable)

Specified by:

setOptions in interface Optionable

setOption

public void setOption(java.lang.String key,
                      java.lang.Object val)

Specified by:

setOption in interface Optionable

getDefaultOptions

public java.util.Hashtable getDefaultOptions()

Specified by:

getDefaultOptions in interface Optionable

getCurrentOptions

public java.util.Hashtable getCurrentOptions()

Specified by:

getCurrentOptions in interface Optionable

setOutputFile

public void setOutputFile(java.lang.String fn)

getOutputFile

public java.lang.String getOutputFile()

setCalculateRMSE

public void setCalculateRMSE(boolean b)

getCalculateRMSE

public boolean getCalculateRMSE()

load

public static Learner load(java.lang.String className,
                           Data t)

processParameters

public void processParameters(java.lang.String[] args)

getName

public java.lang.String getName()