adams.flow.transformer
Class WekaClassifierOptimizer

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

All Implemented Interfaces:

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

public class WekaClassifierOptimizer
extends AbstractTransformer

Evaluates a classifier optimizer on an incoming dataset. The best setup (untrained) found is then forwarded.
At the moment, only GridSearch and MultiSearch are supported as optimizers.

Input/output:
- accepts:
weka.core.Instances
- generates:
weka.classifiers.Classifier

Valid options are:

-D <int> (property: debugLevel)
    The greater the number the more additional info the scheme may output to
    the console (0 = off).
    default: 0
    minimum: 0
 

-name <java.lang.String> (property: name)
    The name of the actor.
    default: ClassifierOptimizer
 

-annotation <adams.core.base.BaseText> (property: annotations)
    The annotations to attach to this actor.
    default:
 

-skip (property: skip)
    If set to true, transformation is skipped and the input token is just forwarded
    as it is.
 

-optimizer <weka.classifiers.Classifier [options]> (property: optimizer)
    The classifier optimizer to use, eg, GridSearch or MultiSearch.
    default: weka.classifiers.meta.GridSearch -E CC -y-property classifier.ridge -y-min -10.0 -y-max 5.0 -y-step 1.0 -y-base 10.0 -y-expression pow(BASE,I) -filter \"weka.filters.supervised.attribute.PLSFilter -C 20 -M -A PLS1 -P center\" -x-property filter.numComponents -x-min 5.0 -x-max 20.0 -x-step 1.0 -x-base 10.0 -x-expression I -sample-size 100.0 -traversal COLUMN-WISE -log-file /home/fracpete/development/projects/adams -num-slots 1 -S 1 -W weka.classifiers.functions.LinearRegression -- -S 1 -C -R 1.0E-8
 

Version:

$Revision: 4584 $

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

protected weka.classifiers.Classifier

m_Optimizer the classifier optimizer.

Fields inherited from class adams.flow.transformer.AbstractTransformer

BACKUP_INPUT, BACKUP_OUTPUT, m_InputToken, m_OutputToken

Fields inherited from class adams.flow.core.AbstractActor

FILE_EXTENSION, FILE_EXTENSION_GZ, m_Annotations, m_BackupState, m_DetectedObjectVariables, m_DetectedVariables, m_ErrorHandler, m_Executed, 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

Constructor Summary

WekaClassifierOptimizer()

Method Summary

Class[]	accepts() Returns the class that the consumer accepts.
String	classifierTipText() Returns the tip text for this property.
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.
weka.classifiers.Classifier	getOptimizer() Returns the optimizer in use.
String	globalInfo() Returns a string describing the object.
String	optimizerTipText() Returns the tip text for this property.
void	setOptimizer(weka.classifiers.Classifier value) Sets the optimizer to use.

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, getFullName, getName, getNextSibling, getParent, getPreviousSibling, getQuickInfo, getRoot, getSkip, getStopFlowOnError, getStopMessage, getStorageHandler, getVariables, handleError, hasErrorHandler, hasStopMessage, index, initialize, isBackedUp, isExecuted, 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

Field Detail

m_Optimizer

protected weka.classifiers.Classifier m_Optimizer

the classifier optimizer.

Constructor Detail

WekaClassifierOptimizer

public WekaClassifierOptimizer()

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

classifierTipText

public String classifierTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

setOptimizer

public void setOptimizer(weka.classifiers.Classifier value)

Sets the optimizer to use.

Parameters:

value - the optimizer

getOptimizer

public weka.classifiers.Classifier getOptimizer()

Returns the optimizer in use.

Returns:

the optimizer

optimizerTipText

public String optimizerTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

accepts

public Class[] accepts()

Returns the class that the consumer accepts.

Returns:

weka.core.Instances.class

generates

public Class[] generates()

Returns the class of objects that it generates.

Returns:

String.class or weka.classifiers.Evaluation.class

doExecute

protected String doExecute()

Executes the flow item.

Specified by:

doExecute in class AbstractActor

Returns:

null if everything is fine, otherwise error message