com.ibm.able.beans.knn
Class AbleNaiveBayesDistributed

java.lang.Object
  com.ibm.able.AbleObject
      com.ibm.able.beans.knn.AbleNaiveBayesDistributed

All Implemented Interfaces:

AbleBean, AbleDataBufferManager, AbleEventListener, AbleEventListenerManager, AbleEventQueueManager, AbleEventQueueProcessor, AblePropertyChangeManager, AbleSerializable, AbleTranslateTemplateProvider, java.io.Serializable

public class AbleNaiveBayesDistributed

extends AbleObject

implements AbleTranslateTemplateProvider, java.io.Serializable

See Also:

Serialized Form

Field Summary

static java.lang.String	defaultName Value assigned to name by default.
double[]	inNum The numeric input buffer.
static java.lang.String[]	MODE_NAMES Labels for the train, test and run modes for GUI use.
double[]	outNum The numeric output buffer.
static int	RUN Application or Run mode output is produced.
static int	TEST Test mode performance is tested (errors are computed).
static int	TRAIN Training mode training data is stored.

Fields inherited from class com.ibm.able.AbleObject

changed, chgSupport, comment, dataFlowEnabled, destBufferConnections, eventQueue, fileName, inputBuffer, listeners, logger, name, outputBuffer, parent, properties, propertyConnectionMgr, sourceBufferConnections, state, stateChgSupport, trace

Constructor Summary

AbleNaiveBayesDistributed()
Default constructor.

AbleNaiveBayesDistributed(java.lang.String aName)
Construct a naive bayes bean with specified name.

AbleNaiveBayesDistributed(java.lang.String aName, int args)

Method Summary

void	calcPosteriorProb()
double[]	calcPriorClassProb()
void	calcPriorProb()
void	generateTranslateTemplates(AbleFilter inFilt, AbleFilter outFilt, java.util.Vector fields) Populate a filter for converting data to a bean's input specifications, and a filter for converting a bean's output specifications back to the original coordinates.
double	getAccuracy() Get the accuracy.
double	getClass(double[] x) Find to which class the current test example is assigned by Naive Bayes algorithm.
double	getCurrentActualClass() Get the current actual classes corresponding to the current test example.
double	getCurrentLearnedClass() Get the current learned classes corresponding to the current test/run example.
double[]	getCurrentTestExample() Get the current test example.
double[]	getCurrentTrainExample() Get the current training example.
AttributeValueClass	getElement(java.util.Vector v, int attr, int val, int cl)
double	getError() Get the error.
java.util.Hashtable[]	getFieldValues()
double[]	getInNum()
int	getM() Get m parameter.
int	getMaxProbIndex(double[] prob) Given a Vector distance populated with distances between current test example and all the training examples, get the index of the training example with the smallest distance to the test example.
int	getNaiveBayesMode() Get the current operating mode of the naive bayes bean.
int	getNumAttributes() Get numAttr parameter.
int	getNumClasses() Get numClasses parameter.
long	getNumCorrectTestExamples() Get the number of correctly classified test examples.
int	GetNumInstances(int clasS)
long	getNumRecords() Get numRecords parameter.
long	getNumTestExamples() Get the number of test examples seen so far.
double[]	getOutNum()
java.util.Vector	getTable()
void	init() Get ready to process - init all the bean members.
void	process() Performs the main, synchronous, standard processing function performed by this bean.
void	reset() Reset the naive bayes bean.
java.util.Vector	setAllTable()
protected void	setDefaults() Set up the event queue behavior.
void	setNaiveBayesMode(int mode) Set the operating mode of the naive bayes bean.
void	setNaiveBayesParameters(int newAttr, int newCl, long newRec) Set the number records, number attributes and number classes for naive bayes bean.

Methods inherited from class com.ibm.able.AbleObject

addAbleEventListener, addDestBufferConnection, addPropertyChangeListener, addPropertyConnection, addSourceBufferConnection, addStateChangeListener, dataChanged, firePropertyChange, flushAbleEventQueue, getAbleEventListeners, getAbleEventProcessingEnabled, getAbleEventQueueSize, getComment, getDestBufferConnections, getFileName, getInputBuffer, getInputBuffer, getInputBufferAsString, getInputBufferAsStringArray, getInputBufferContents, getLogger, getName, getOutputBuffer, getOutputBuffer, getOutputBufferAsString, getOutputBufferAsStringArray, getOutputBufferContents, getParent, getProperties, getProperty, getPropertyChangeListeners, getPropertyConnectionManager, getSleepTime, getSourceBufferConnections, getState, getTraceLogger, handleAbleEvent, hasInputBuffer, hasOutputBuffer, init, isAbleEventPostingEnabled, isAbleEventProcessingEnabled, isChanged, isConnectable, isDataFlowEnabled, isTimerEventProcessingEnabled, notifyAbleEventListeners, process, processAbleEvent, processBufferConnections, processNoEventProcessingEnabledSituation, processTimerEvent, quitAll, quitEnabledEventProcessing, removeAbleEventListener, removeAllAbleEventListeners, removeAllBufferConnections, removeAllConnections, removeAllPropertyConnections, removeDestBufferConnection, removeProperty, removePropertyChangeListener, removePropertyConnection, removeSourceBufferConnection, removeStateChangeListener, restartEnabledEventProcessing, restoreFromFile, restoreFromFile, restoreFromSerializedFile, restoreFromStream, resumeAll, resumeEnabledEventProcessing, saveToFile, saveToFile, setAbleEventProcessingEnabled, setChanged, setComment, setDataFlowEnabled, setFileName, setInputBuffer, setInputBuffer, setLogger, setName, setOutputBuffer, setOutputBuffer, setParent, setProperties, setProperty, setSleepTime, setState, setTimerEventProcessingEnabled, setTraceLogger, sourceConnectionsOK, startEnabledEventProcessing, suspendAll, suspendEnabledEventProcessing

Methods inherited from class java.lang.Object

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

Field Detail

defaultName

public static final java.lang.String defaultName

Value assigned to name by default.

See Also:

Constant Field Values

inNum

public double[] inNum

The numeric input buffer.

outNum

public double[] outNum

The numeric output buffer.

TRAIN

public static final int TRAIN

Training mode training data is stored.

See Also:

Constant Field Values

TEST

public static final int TEST

Test mode performance is tested (errors are computed).

See Also:

Constant Field Values

RUN

public static final int RUN

Application or Run mode output is produced.

See Also:

Constant Field Values

MODE_NAMES

public static final java.lang.String[] MODE_NAMES

Labels for the train, test and run modes for GUI use.

Constructor Detail

AbleNaiveBayesDistributed

public AbleNaiveBayesDistributed()
                          throws AbleException

Default constructor.

AbleNaiveBayesDistributed

public AbleNaiveBayesDistributed(java.lang.String aName)
                          throws AbleException

Construct a naive bayes bean with specified name.

Parameters:

aName - The object name

AbleNaiveBayesDistributed

public AbleNaiveBayesDistributed(java.lang.String aName,
                                 int args)
                          throws AbleException

Method Detail

getInNum

public double[] getInNum()

getOutNum

public double[] getOutNum()

setDefaults

protected void setDefaults()
                    throws AbleException

Set up the event queue behavior. No timer processing and no asynch event processing.

Throws:

AbleException

getNaiveBayesMode

public int getNaiveBayesMode()

Get the current operating mode of the naive bayes bean.

Returns:

int.

setNaiveBayesMode

public void setNaiveBayesMode(int mode)

Set the operating mode of the naive bayes bean.

Parameters:

mode - The current operating mode, train/test/run

setNaiveBayesParameters

public void setNaiveBayesParameters(int newAttr,
                                    int newCl,
                                    long newRec)

Set the number records, number attributes and number classes for naive bayes bean.

Parameters:

newAttr - Defines the number of attributes.

newCl - Defines the number of classes.

newRec - Defines the number of records.

getM

public int getM()

Get m parameter.

getNumRecords

public long getNumRecords()

Get numRecords parameter.

getNumAttributes

public int getNumAttributes()

Get numAttr parameter.

getNumClasses

public int getNumClasses()

Get numClasses parameter.

getNumTestExamples

public long getNumTestExamples()

Get the number of test examples seen so far.

getNumCorrectTestExamples

public long getNumCorrectTestExamples()

Get the number of correctly classified test examples.

getAccuracy

public double getAccuracy()

Get the accuracy.

getError

public double getError()

Get the error.

getCurrentTrainExample

public double[] getCurrentTrainExample()

Get the current training example.

getCurrentTestExample

public double[] getCurrentTestExample()

Get the current test example.

getCurrentLearnedClass

public double getCurrentLearnedClass()

Get the current learned classes corresponding to the current test/run example.

getCurrentActualClass

public double getCurrentActualClass()

Get the current actual classes corresponding to the current test example.

getTable

public java.util.Vector getTable()

init

public void init()
          throws AbleException

Get ready to process - init all the bean members.

Specified by:

init in interface AbleBean

Overrides:

init in class AbleObject

Throws:

AbleException - If an error occurs.

See Also:

AbleObject.startEnabledEventProcessing()

reset

public void reset()
           throws AbleException

Reset the naive bayes bean.

Specified by:

reset in interface AbleBean

Overrides:

reset in class AbleObject

Throws:

AbleException - If an error occurs.

See Also:

AbleBean.reset()

getMaxProbIndex

public int getMaxProbIndex(double[] prob)

Given a Vector distance populated with distances between current test example and all the training examples, get the index of the training example with the smallest distance to the test example.

getElement

public AttributeValueClass getElement(java.util.Vector v,
                                      int attr,
                                      int val,
                                      int cl)

getClass

public double getClass(double[] x)
                throws AbleException

Find to which class the current test example is assigned by Naive Bayes algorithm.

Throws:

AbleException

getFieldValues

public java.util.Hashtable[] getFieldValues()
                                     throws AbleException

Throws:

AbleException

calcPriorClassProb

public double[] calcPriorClassProb()
                            throws AbleException

Throws:

AbleException

setAllTable

public java.util.Vector setAllTable()
                             throws AbleException

Throws:

AbleException

calcPriorProb

public void calcPriorProb()
                   throws AbleException

Throws:

AbleException

GetNumInstances

public int GetNumInstances(int clasS)

calcPosteriorProb

public void calcPosteriorProb()
                       throws AbleException

Throws:

AbleException

process

public void process()
             throws AbleException

Description copied from class: AbleObject

Performs the main, synchronous, standard processing function performed by this bean.

This base method implementation provides tracing only.

Specified by:

process in interface AbleBean

Overrides:

process in class AbleObject

Throws:

AbleException

See Also:

AbleObject.inputBuffer, AbleObject.outputBuffer, AbleBean.process()

generateTranslateTemplates

public void generateTranslateTemplates(AbleFilter inFilt,
                                       AbleFilter outFilt,
                                       java.util.Vector fields)
                                throws AbleException

Description copied from interface: AbleTranslateTemplateProvider

Populate a filter for converting data to a bean's input specifications, and a filter for converting a bean's output specifications back to the original coordinates. Translate templates are added to each filter for each field as appropriate for its field usage and datatype. A bean who wishes to provide only default templates can use the static link provided in AbleFilter.generateTranslateTemplates(com.ibm.able.beans.filter.AbleFilter, com.ibm.able.beans.filter.AbleFilter, java.util.Vector)

Specified by:

generateTranslateTemplates in interface AbleTranslateTemplateProvider

Parameters:

inFilt - The AbleFilter used to convert incoming data.

outFilt - The AbleFilter used to convert outgoing data.

fields - A vector of AbleFields from which to derive the translation template.

Returns:

An array containing two AbleFilter objectshe translation template.

Throws:

AbleException