adams.flow.transformer
Class TrainClusterer

java.lang.Object
  adams.core.ConsoleObject
      adams.core.option.AbstractOptionHandler
          adams.flow.core.AbstractActor
              adams.flow.transformer.AbstractTransformer
                  adams.flow.transformer.TrainClusterer

All Implemented Interfaces:

AdditionalInformationHandler, CleanUpHandler, Debuggable, DebugOutputHandler, Destroyable, OptionHandler, QuickInfoSupporter, ShallowCopySupporter<AbstractActor>, SizeOfHandler, Stoppable, VariableChangeListener, Actor, ErrorHandler, InputConsumer, OutputProducer, Serializable, Comparable

public class TrainClusterer
extends AbstractTransformer

Trains a clusterer.

Version:

$Revision$

Author:

msf8

See Also:

Serialized Form

Field Summary

protected GlobalActorReference	m_Clusterer global actor containing the clusterer to use
protected String	m_ModelName name of the model to use

Fields inherited from class adams.flow.transformer.AbstractTransformer

BACKUP_INPUT, BACKUP_OUTPUT, m_InputToken, m_OutputToken

Fields inherited from class adams.flow.core.AbstractActor

m_Annotations, m_BackupState, m_DetectedObjectVariables, m_DetectedVariables, m_ErrorHandler, m_Executed, m_Executing, m_ExecutionListeningSupporter, m_FullName, m_Headless, m_Name, m_Parent, m_Root, m_Self, m_Skip, m_StopFlowOnError, m_StopMessage, m_Stopped, m_StorageHandler, m_VariablesUpdated

Fields inherited from class adams.core.option.AbstractOptionHandler

m_DebugLevel, m_OptionManager

Fields inherited from interface adams.flow.core.Actor

FILE_EXTENSION, FILE_EXTENSION_GZ

Constructor Summary

TrainClusterer()

Method Summary

Class[]	accepts() Returns the class that the consumer accepts.
String	clustererTipText() description of this option
void	defineOptions() Adds options to the internal list of options.
protected String	doExecute() Executes the flow item.
Class[]	generates() Returns the class of objects that it generates.
GlobalActorReference	getClusterer() get the clusterer used for training
protected weka.clusterers.Clusterer	getClustererInstance() get the clusterer from the global actor containing the clusterer.
String	getModelName() get the name of the model used for training
String	getQuickInfo() Returns a quick info about the actor, which will be displayed in the GUI.
String	globalInfo() Returns a string describing the object.
String	modelNameTipText() description of this option
void	setClusterer(GlobalActorReference c) set the clusterer to use for training
void	setModelName(String n) set the name of the model used in training

Methods inherited from class adams.flow.transformer.AbstractTransformer

backupState, execute, hasPendingOutput, input, output, postExecute, reset, restoreState, wrapUp

Methods inherited from class adams.flow.core.AbstractActor

annotationsTipText, canInspectOptions, canPerformSetUpCheck, cleanUp, compareTo, debug, destroy, equals, findVariables, findVariables, findVariables, forceVariables, forCommandLine, forName, getAdditionalInformation, getAnnotations, getDefaultName, getDetectedVariables, getErrorHandler, getFlowActors, getFlowExecutionListeningSupporter, getFullName, getName, getNextSibling, getParent, getPreviousSibling, getRoot, getSkip, getStopFlowOnError, getStopMessage, getStorageHandler, getVariables, handleError, handleException, hasErrorHandler, hasStopMessage, index, initialize, isBackedUp, isExecuted, isExecuting, isFinished, isHeadless, isStopped, nameTipText, performSetUpChecks, preExecute, pruneBackup, pruneBackup, setAnnotations, setErrorHandler, setHeadless, setName, setParent, setSkip, setStopFlowOnError, setUp, setVariables, shallowCopy, shallowCopy, sizeOf, skipTipText, stopExecution, stopExecution, stopFlowOnErrorTipText, updateDetectedVariables, updatePrefix, updateVariables, variableChanged

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, debug, debugLevelTipText, finishInit, getDebugLevel, getOptionManager, isDebugOn, newOptionManager, setDebugLevel, toCommandLine, toString

Methods inherited from class adams.core.ConsoleObject

getDebugging, getSystemErr, getSystemOut

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.flow.core.Actor

cleanUp, compareTo, debug, destroy, equals, findVariables, getAnnotations, getDefaultName, getDetectedVariables, getErrorHandler, getFlowExecutionListeningSupporter, getFullName, getName, getNextSibling, getParent, getPreviousSibling, getRoot, getSkip, getStopFlowOnError, getStopMessage, getStorageHandler, getVariables, handleError, hasErrorHandler, hasStopMessage, index, isExecuted, isFinished, isHeadless, isStopped, setAnnotations, setErrorHandler, setHeadless, setName, setParent, setSkip, setStopFlowOnError, setUp, setVariables, sizeOf, stopExecution, stopExecution, variableChanged

Methods inherited from interface adams.core.AdditionalInformationHandler

getAdditionalInformation

Methods inherited from interface adams.core.option.OptionHandler

cleanUpOptions, getOptionManager

Field Detail

m_Clusterer

protected GlobalActorReference m_Clusterer

global actor containing the clusterer to use

m_ModelName

protected String m_ModelName

name of the model to use

Constructor Detail

TrainClusterer

public TrainClusterer()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface OptionHandler

Overrides:

defineOptions in class AbstractActor

getQuickInfo

public String getQuickInfo()

Returns a quick info about the actor, which will be displayed in the GUI.

Specified by:

getQuickInfo in interface QuickInfoSupporter

Specified by:

getQuickInfo in interface Actor

Overrides:

getQuickInfo in class AbstractActor

Returns:

null if no info available, otherwise short string

setClusterer

public void setClusterer(GlobalActorReference c)

set the clusterer to use for training

Parameters:

c - global actor containing the classifer

getClusterer

public GlobalActorReference getClusterer()

get the clusterer used for training

Returns:

global actor containing the clusterer

clustererTipText

public String clustererTipText()

description of this option

Returns:

description of the clusterer option

setModelName

public void setModelName(String n)

set the name of the model used in training

Parameters:

n - model name

getModelName

public String getModelName()

get the name of the model used for training

Returns:

model name

modelNameTipText

public String modelNameTipText()

description of this option

Returns:

description of the model name option

accepts

public Class[] accepts()

Returns the class that the consumer accepts.

Returns:

the Class of objects that can be processed

generates

public Class[] generates()

Returns the class of objects that it generates.

Returns:

the Class of the generated tokens

getClustererInstance

protected weka.clusterers.Clusterer getClustererInstance()

get the clusterer from the global actor containing the clusterer.

Returns:

clusterer to use

doExecute

protected String doExecute()

Executes the flow item.

Specified by:

doExecute in class AbstractActor

Returns:

null if everything is fine, otherwise error message