adams.flow.transformer
Class WekaTrainTestSetEvaluator
java.lang.Object
adams.core.ConsoleObject
adams.core.option.AbstractOptionHandler
adams.flow.core.AbstractActor
adams.flow.transformer.AbstractTransformer
adams.flow.transformer.AbstractWekaClassifierEvaluator
adams.flow.transformer.AbstractGlobalWekaClassifierEvaluator
adams.flow.transformer.WekaTrainTestSetEvaluator
- All Implemented Interfaces:
- AdditionalInformationHandler, CleanUpHandler, Debuggable, DebugOutputHandler, Destroyable, OptionHandler, QuickInfoSupporter, ShallowCopySupporter<AbstractActor>, SizeOfHandler, Stoppable, VariableChangeListener, ErrorHandler, InputConsumer, OutputProducer, ProvenanceSupporter, Serializable, Comparable
public class WekaTrainTestSetEvaluator
- extends AbstractGlobalWekaClassifierEvaluator
- implements ProvenanceSupporter
Trains a classifier on an incoming training dataset (from a container) and then evaluates it on the test set (also from a container).
The classifier setup being used in the evaluation is a global 'Classifier' actor.
Input/output:
- accepts:
adams.flow.container.WekaTrainTestSetContainer
- generates:
weka.classifiers.Evaluation
Container information:
- adams.flow.container.WekaTrainTestSetContainer: Train, Test, Seed, FoldNumber, FoldCount
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: WekaTrainTestSetEvaluator
-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.
-stop-flow-on-error (property: stopFlowOnError)
If set to true, the flow gets stopped in case this actor encounters an error;
useful for critical actors.
-output <weka.classifiers.evaluation.output.prediction.AbstractOutput> (property: output)
The class for generating prediction output; if 'Null' is used, then an Evaluation
object is forwarded instead of a String.
default: weka.classifiers.evaluation.output.prediction.Null
-classifier <adams.flow.core.GlobalActorReference> (property: classifier)
The global classifier actor to train and evaluate on the test data.
default: WekaClassifier
-no-predictions (property: discardPredictions)
If enabled, the collection of predictions during evaluation is suppressed,
wich will conserve memory.
- Version:
- $Revision: 4584 $
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
| 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 |
| 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, 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, 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 |
WekaTrainTestSetEvaluator
public WekaTrainTestSetEvaluator()
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
getQuickInfo
public String getQuickInfo()
- Returns a quick info about the actor, which will be displayed in the GUI.
- Specified by:
getQuickInfo in interface QuickInfoSupporter- Overrides:
getQuickInfo in class AbstractGlobalWekaClassifierEvaluator
- Returns:
- null if no info available, otherwise short string
classifierTipText
public String classifierTipText()
- Returns the tip text for this property.
- Specified by:
classifierTipText in class AbstractGlobalWekaClassifierEvaluator
- 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.
- Specified by:
accepts in interface InputConsumer
- Returns:
- adams.flow.container.WekaTrainTestSetContainer.class
doExecute
protected String doExecute()
- Executes the flow item.
- Specified by:
doExecute in class AbstractActor
- Returns:
- null if everything is fine, otherwise error message
updateProvenance
public void updateProvenance(ProvenanceContainer cont)
- Updates the provenance information in the provided container.
- Specified by:
updateProvenance in interface ProvenanceSupporter
- Parameters:
cont - the provenance container to update
Copyright © 2012 University of Waikato, Hamilton, NZ. All Rights Reserved.