Package adams.flow.transformer
Class WekaTestSetEvaluator
- java.lang.Object
-
- adams.core.logging.LoggingObject
-
- adams.core.logging.CustomLoggingLevelObject
-
- adams.core.option.AbstractOptionHandler
-
- adams.flow.core.AbstractActor
-
- adams.flow.transformer.AbstractTransformer
-
- adams.flow.transformer.AbstractWekaClassifierEvaluator
-
- adams.flow.transformer.WekaTestSetEvaluator
-
- 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 WekaTestSetEvaluator extends AbstractWekaClassifierEvaluator implements adams.multiprocess.JobRunnerSupporter
Evaluates a trained classifier (obtained from input) on the dataset obtained from the callable actor.
Input/output:
- accepts:
weka.classifiers.Classifier
adams.flow.container.WekaModelContainer
- generates:
adams.flow.container.WekaEvaluationContainer
Container information:
- adams.flow.container.WekaModelContainer: Model, Header, Dataset
- 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: WekaTestSetEvaluator
-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
-testset <adams.flow.core.CallableActorReference> (property: testset) The callable actor to use for obtaining the test set. default: Testset
-no-predictions <boolean> (property: discardPredictions) If enabled, the collection of predictions during evaluation is suppressed, which will conserve memory. default: false
-prefer-jobrunner <boolean> (property: preferJobRunner) If enabled, tries to offload the processing onto a adams.flow.standalone.JobRunnerInstance; applies only to training. default: false
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
-
-
Nested Class Summary
Nested Classes Modifier and Type Class Description static class
WekaTestSetEvaluator.EvaluateJob
-
Field Summary
Fields Modifier and Type Field Description protected boolean
m_DiscardPredictions
whether to discard predictions.protected adams.flow.standalone.JobRunnerInstance
m_JobRunnerInstance
the JobRunnerInstance to use.protected boolean
m_PreferJobRunner
whether to offload training into a JobRunnerInstance.protected adams.flow.core.CallableActorReference
m_Testset
the name of the callable trainset provider.-
Fields inherited from class adams.flow.transformer.AbstractWekaClassifierEvaluator
m_AlwaysUseContainer, m_Output, m_OutputBuffer
-
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_LoggingPrefix, m_Name, m_Parent, m_ScopeHandler, m_Self, m_Silent, m_Skip, m_StopFlowOnError, m_StopMessage, m_Stopped, m_StorageHandler, m_VariablesUpdated
-
-
Constructor Summary
Constructors Constructor Description WekaTestSetEvaluator()
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Class[]
accepts()
Returns the class that the consumer accepts.void
defineOptions()
Adds options to the internal list of options.String
discardPredictionsTipText()
Returns the tip text for this property.protected String
doExecute()
Executes the flow item.boolean
getDiscardPredictions()
Returns whether to discard the predictions in order to preserve memory.boolean
getPreferJobRunner()
Returns whether to offload processing to a JobRunner instance if available.String
getQuickInfo()
Returns a quick info about the actor, which will be displayed in the GUI.adams.flow.core.CallableActorReference
getTestset()
Returns the name of the callable classifier in use.String
globalInfo()
Returns a string describing the object.String
preferJobRunnerTipText()
Returns the tip text for this property.void
setDiscardPredictions(boolean value)
Sets whether to discard the predictions instead of collecting them for future use, in order to conserve memory.void
setPreferJobRunner(boolean value)
Sets whether to offload processing to a JobRunner instance if available.void
setTestset(adams.flow.core.CallableActorReference value)
Sets the name of the callable classifier to use.String
testsetTipText()
Returns the tip text for this property.-
Methods inherited from class adams.flow.transformer.AbstractWekaClassifierEvaluator
alwaysUseContainerTipText, cleanOutputBuffer, generates, getAlwaysUseContainer, getOutput, initOutputBuffer, outputTipText, reset, setAlwaysUseContainer, setOutput, wrapUp
-
Methods inherited from class adams.flow.transformer.AbstractTransformer
backupState, currentInput, execute, hasInput, hasPendingOutput, input, output, postExecute, restoreState
-
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, setUp, setVariables, shallowCopy, shallowCopy, silentTipText, sizeOf, skipTipText, stopExecution, stopExecution, stopFlowOnErrorTipText, updateDetectedVariables, updatePrefix, updateVariables, variableChanged
-
Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString
-
Methods inherited from class adams.core.logging.LoggingObject
getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled
-
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, 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, setUp, setVariables, shallowCopy, shallowCopy, sizeOf, stopExecution, stopExecution, toCommandLine, variableChanged
-
-
-
-
Field Detail
-
m_Testset
protected adams.flow.core.CallableActorReference m_Testset
the name of the callable trainset provider.
-
m_DiscardPredictions
protected boolean m_DiscardPredictions
whether to discard predictions.
-
m_PreferJobRunner
protected boolean m_PreferJobRunner
whether to offload training into a JobRunnerInstance.
-
m_JobRunnerInstance
protected transient adams.flow.standalone.JobRunnerInstance m_JobRunnerInstance
the JobRunnerInstance to use.
-
-
Method Detail
-
globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in classadams.core.option.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 interfaceadams.core.option.OptionHandler
- Overrides:
defineOptions
in classAbstractWekaClassifierEvaluator
-
getQuickInfo
public String getQuickInfo()
Returns a quick info about the actor, which will be displayed in the GUI.- Specified by:
getQuickInfo
in interfaceadams.flow.core.Actor
- Specified by:
getQuickInfo
in interfaceadams.core.QuickInfoSupporter
- Overrides:
getQuickInfo
in classadams.flow.core.AbstractActor
- Returns:
- null if no info available, otherwise short string
-
setTestset
public void setTestset(adams.flow.core.CallableActorReference value)
Sets the name of the callable classifier to use.- Parameters:
value
- the name
-
getTestset
public adams.flow.core.CallableActorReference getTestset()
Returns the name of the callable classifier in use.- Returns:
- the name
-
testsetTipText
public String testsetTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
-
setDiscardPredictions
public void setDiscardPredictions(boolean value)
Sets whether to discard the predictions instead of collecting them for future use, in order to conserve memory.- Parameters:
value
- true if to discard predictions
-
getDiscardPredictions
public boolean getDiscardPredictions()
Returns whether to discard the predictions in order to preserve memory.- Returns:
- true if predictions discarded
-
discardPredictionsTipText
public String discardPredictionsTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
-
setPreferJobRunner
public void setPreferJobRunner(boolean value)
Sets whether to offload processing to a JobRunner instance if available.- Specified by:
setPreferJobRunner
in interfaceadams.multiprocess.JobRunnerSupporter
- Parameters:
value
- if true try to find/use a JobRunner instance
-
getPreferJobRunner
public boolean getPreferJobRunner()
Returns whether to offload processing to a JobRunner instance if available.- Specified by:
getPreferJobRunner
in interfaceadams.multiprocess.JobRunnerSupporter
- Returns:
- if true try to find/use a JobRunner instance
-
preferJobRunnerTipText
public String preferJobRunnerTipText()
Returns the tip text for this property.- Specified by:
preferJobRunnerTipText
in interfaceadams.multiprocess.JobRunnerSupporter
- 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 interfaceadams.flow.core.InputConsumer
- Returns:
- weka.classifiers.Classifier.class, adams.flow.container.WekaModelContainer.class
-
doExecute
protected String doExecute()
Executes the flow item.- Specified by:
doExecute
in classadams.flow.core.AbstractActor
- Returns:
- null if everything is fine, otherwise error message
-
-