Package adams.flow.transformer
Class WekaTrainTestSetEvaluator
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.flow.core.AbstractActor
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- adams.flow.transformer.AbstractTransformer
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- adams.flow.transformer.AbstractWekaClassifierEvaluator
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- adams.flow.transformer.AbstractCallableWekaClassifierEvaluator
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- adams.flow.transformer.WekaTrainTestSetEvaluator
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- All Implemented Interfaces:
adams.core.AdditionalInformationHandler,adams.core.CleanUpHandler,adams.core.Destroyable,adams.core.GlobalInfoSupporter,adams.core.logging.LoggingLevelHandler,adams.core.logging.LoggingSupporter,adams.core.option.OptionHandler,adams.core.QuickInfoSupporter,adams.core.ShallowCopySupporter<adams.flow.core.Actor>,adams.core.SizeOfHandler,adams.core.Stoppable,adams.core.StoppableWithFeedback,adams.core.VariablesInspectionHandler,adams.event.VariableChangeListener,adams.flow.core.Actor,adams.flow.core.ErrorHandler,adams.flow.core.InputConsumer,adams.flow.core.OutputProducer,adams.multiprocess.JobRunnerSupporter,Serializable,Comparable
public class WekaTrainTestSetEvaluator extends AbstractCallableWekaClassifierEvaluator implements adams.multiprocess.JobRunnerSupporter
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 callable 'Classifier' actor.
Input/output:
- accepts:
adams.flow.container.WekaTrainTestSetContainer
- generates:
adams.flow.container.WekaEvaluationContainer
Container information:
- adams.flow.container.WekaTrainTestSetContainer: Train, Test, Seed, FoldNumber, FoldCount, Train original indices, Test original indices
- adams.flow.container.WekaEvaluationContainer: Evaluation, Model, Prediction output, Original indices, Test data
-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel) The logging level for outputting errors and debugging output. default: WARNING min-user-mode: Expert
-name <java.lang.String> (property: name) The name of the actor. default: WekaTrainTestSetEvaluator
-annotation <adams.core.base.BaseAnnotation> (property: annotations) The annotations to attach to this actor. default:
-skip <boolean> (property: skip) If set to true, transformation is skipped and the input token is just forwarded as it is. default: false
-stop-flow-on-error <boolean> (property: stopFlowOnError) If set to true, the flow execution at this level gets stopped in case this actor encounters an error; the error gets propagated; useful for critical actors. default: false min-user-mode: Expert
-silent <boolean> (property: silent) If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well. default: false min-user-mode: Expert
-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
-always-use-container <boolean> (property: alwaysUseContainer) If enabled, always outputs an evaluation container. default: false
-classifier <adams.flow.core.CallableActorReference> (property: classifier) The callable classifier actor to train and evaluate on the test data. default: WekaClassifierSetup
-no-predictions <boolean> (property: discardPredictions) If enabled, the collection of predictions during evaluation is suppressed, wich will conserve memory. default: false
-prefer-jobrunner <boolean> (property: preferJobRunner) If enabled, tries to offload the processing onto a adams.flow.standalone.JobRunnerInstance. default: false
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classWekaTrainTestSetEvaluator.EvaluateJob
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Field Summary
Fields Modifier and Type Field Description protected weka.classifiers.Classifierm_CurrentClassifierthe current classifier.protected StoppableEvaluationm_CurrentEvaluationthe current evaluation.protected adams.flow.standalone.JobRunnerInstancem_JobRunnerInstancethe JobRunnerInstance to use.protected booleanm_PreferJobRunnerwhether to offload train/evaluate onto a JobRunnerInstance.-
Fields inherited from class adams.flow.transformer.AbstractCallableWekaClassifierEvaluator
m_Classifier, m_DiscardPredictions
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Fields inherited from class adams.flow.transformer.AbstractWekaClassifierEvaluator
m_AlwaysUseContainer, m_Output, m_OutputBuffer
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Fields inherited from class adams.flow.transformer.AbstractTransformer
BACKUP_INPUT, BACKUP_OUTPUT, m_InputToken, m_OutputToken
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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_LoggingPrefix, m_Name, m_Parent, m_ScopeHandler, m_Self, m_Silent, m_Skip, m_StopFlowOnError, m_StopMessage, m_Stopped, m_StorageHandler, m_VariablesUpdated
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Constructor Summary
Constructors Constructor Description WekaTrainTestSetEvaluator()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Class[]accepts()Returns the class that the consumer accepts.StringclassifierTipText()Returns the tip text for this property.voiddefineOptions()Adds options to the internal list of options.protected StringdoExecute()Executes the flow item.booleangetPreferJobRunner()Returns whether to offload processing to a JobRunner instance if available.StringgetQuickInfo()Returns a quick info about the actor, which will be displayed in the GUI.StringglobalInfo()Returns a string describing the object.StringpreferJobRunnerTipText()Returns the tip text for this property.voidsetPreferJobRunner(boolean value)Sets whether to offload processing to a JobRunner instance if available.StringsetUp()Initializes the item for flow execution.voidstopExecution()Stops the execution.-
Methods inherited from class adams.flow.transformer.AbstractCallableWekaClassifierEvaluator
discardPredictionsTipText, getClassifier, getClassifierInstance, getDiscardPredictions, setClassifier, setDiscardPredictions
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Methods inherited from class adams.flow.transformer.AbstractWekaClassifierEvaluator
alwaysUseContainerTipText, cleanOutputBuffer, generates, getAlwaysUseContainer, getOutput, initOutputBuffer, outputTipText, reset, setAlwaysUseContainer, setOutput, wrapUp
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Methods inherited from class adams.flow.transformer.AbstractTransformer
backupState, currentInput, execute, hasInput, hasPendingOutput, input, output, postExecute, restoreState
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Methods inherited from class adams.flow.core.AbstractActor
annotationsTipText, canInspectOptions, canPerformSetUpCheck, cleanUp, compareTo, configureLogger, destroy, equals, finalUpdateVariables, findVariables, findVariables, forceVariables, forCommandLine, forName, forName, getAdditionalInformation, getAnnotations, getDefaultName, getDetectedVariables, getErrorHandler, getFlowActors, getFlowExecutionListeningSupporter, getFullName, getName, getNextSibling, getParent, getParentComponent, getPreviousSibling, getRoot, getScopeHandler, getSilent, getSkip, getStopFlowOnError, getStopMessage, getStorageHandler, getVariables, handleError, handleException, hasErrorHandler, hasStopMessage, index, initialize, isBackedUp, isExecuted, isExecuting, isFinished, isHeadless, isStopped, nameTipText, performSetUpChecks, performVariableChecks, preExecute, pruneBackup, pruneBackup, setAnnotations, setErrorHandler, setName, setParent, setSilent, setSkip, setStopFlowOnError, setVariables, shallowCopy, shallowCopy, silentTipText, sizeOf, skipTipText, stopExecution, stopFlowOnErrorTipText, updateDetectedVariables, updatePrefix, updateVariables, variableChanged
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled
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Methods inherited from class java.lang.Object
clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.flow.core.Actor
cleanUp, compareTo, destroy, equals, findVariables, getAnnotations, getDefaultName, getDetectedVariables, getErrorHandler, getFlowExecutionListeningSupporter, getFullName, getName, getNextSibling, getParent, getParentComponent, getPreviousSibling, getRoot, getScopeHandler, getSilent, getSkip, getStopFlowOnError, getStopMessage, getStorageHandler, getVariables, handleError, hasErrorHandler, hasStopMessage, index, isExecuted, isFinished, isHeadless, isStopped, setAnnotations, setErrorHandler, setName, setParent, setSilent, setSkip, setStopFlowOnError, setVariables, shallowCopy, shallowCopy, sizeOf, stopExecution, toCommandLine, variableChanged
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Field Detail
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m_PreferJobRunner
protected boolean m_PreferJobRunner
whether to offload train/evaluate onto a JobRunnerInstance.
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m_JobRunnerInstance
protected transient adams.flow.standalone.JobRunnerInstance m_JobRunnerInstance
the JobRunnerInstance to use.
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m_CurrentEvaluation
protected transient StoppableEvaluation m_CurrentEvaluation
the current evaluation.
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m_CurrentClassifier
protected transient weka.classifiers.Classifier m_CurrentClassifier
the current classifier.
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfoin interfaceadams.core.GlobalInfoSupporter- Specified by:
globalInfoin classadams.core.option.AbstractOptionHandler- Returns:
- a description suitable for displaying in the gui
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptionsin interfaceadams.core.option.OptionHandler- Overrides:
defineOptionsin classAbstractCallableWekaClassifierEvaluator
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classifierTipText
public String classifierTipText()
Returns the tip text for this property.- Specified by:
classifierTipTextin classAbstractCallableWekaClassifierEvaluator- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setPreferJobRunner
public void setPreferJobRunner(boolean value)
Sets whether to offload processing to a JobRunner instance if available.- Specified by:
setPreferJobRunnerin interfaceadams.multiprocess.JobRunnerSupporter- Parameters:
value- if true try to find/use a JobRunner instance
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getPreferJobRunner
public boolean getPreferJobRunner()
Returns whether to offload processing to a JobRunner instance if available.- Specified by:
getPreferJobRunnerin interfaceadams.multiprocess.JobRunnerSupporter- Returns:
- if true try to find/use a JobRunner instance
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preferJobRunnerTipText
public String preferJobRunnerTipText()
Returns the tip text for this property.- Specified by:
preferJobRunnerTipTextin interfaceadams.multiprocess.JobRunnerSupporter- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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accepts
public Class[] accepts()
Returns the class that the consumer accepts.- Specified by:
acceptsin interfaceadams.flow.core.InputConsumer- Returns:
- adams.flow.container.WekaTrainTestSetContainer.class
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getQuickInfo
public String getQuickInfo()
Returns a quick info about the actor, which will be displayed in the GUI.- Specified by:
getQuickInfoin interfaceadams.flow.core.Actor- Specified by:
getQuickInfoin interfaceadams.core.QuickInfoSupporter- Overrides:
getQuickInfoin classAbstractCallableWekaClassifierEvaluator- Returns:
- null if no info available, otherwise short string
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setUp
public String setUp()
Initializes the item for flow execution.- Specified by:
setUpin interfaceadams.flow.core.Actor- Overrides:
setUpin classAbstractCallableWekaClassifierEvaluator- Returns:
- null if everything is fine, otherwise error message
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doExecute
protected String doExecute()
Executes the flow item.- Specified by:
doExecutein classadams.flow.core.AbstractActor- Returns:
- null if everything is fine, otherwise error message
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stopExecution
public void stopExecution()
Stops the execution. No message set.- Specified by:
stopExecutionin interfaceadams.flow.core.Actor- Specified by:
stopExecutionin interfaceadams.core.Stoppable- Overrides:
stopExecutionin classadams.flow.core.AbstractActor
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