Class WekaTrainTestSetEvaluator

  • 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
    • Field Summary

      Fields 
      Modifier and Type Field Description
      protected weka.classifiers.Classifier m_CurrentClassifier
      the current classifier.
      protected StoppableEvaluation m_CurrentEvaluation
      the current evaluation.
      protected adams.flow.standalone.JobRunnerInstance m_JobRunnerInstance
      the JobRunnerInstance to use.
      protected boolean m_PreferJobRunner
      whether to offload train/evaluate onto a JobRunnerInstance.
      • 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
      • Fields inherited from class adams.core.option.AbstractOptionHandler

        m_OptionManager
      • Fields inherited from class adams.core.logging.LoggingObject

        m_Logger, m_LoggingIsEnabled, m_LoggingLevel
      • Fields inherited from interface adams.flow.core.Actor

        FILE_EXTENSION, FILE_EXTENSION_GZ
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      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.
      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.
      String globalInfo()
      Returns a string describing the object.
      String preferJobRunnerTipText()
      Returns the tip text for this property.
      void setPreferJobRunner​(boolean value)
      Sets whether to offload processing to a JobRunner instance if available.
      String setUp()
      Initializes the item for flow execution.
      void stopExecution()
      Stops the execution.
      • 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, setVariables, shallowCopy, shallowCopy, silentTipText, sizeOf, skipTipText, 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 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
      • Methods inherited from interface adams.core.AdditionalInformationHandler

        getAdditionalInformation
      • Methods inherited from interface adams.core.logging.LoggingLevelHandler

        getLoggingLevel, setLoggingLevel
      • Methods inherited from interface adams.core.logging.LoggingSupporter

        getLogger, isLoggingEnabled
      • Methods inherited from interface adams.core.option.OptionHandler

        cleanUpOptions, getOptionManager
      • Methods inherited from interface adams.core.VariablesInspectionHandler

        canInspectOptions
    • Field Detail

      • m_PreferJobRunner

        protected boolean m_PreferJobRunner
        whether to offload train/evaluate onto a JobRunnerInstance.
      • m_JobRunnerInstance

        protected transient adams.flow.standalone.JobRunnerInstance m_JobRunnerInstance
        the JobRunnerInstance to use.
      • m_CurrentEvaluation

        protected transient StoppableEvaluation m_CurrentEvaluation
        the current evaluation.
      • m_CurrentClassifier

        protected transient weka.classifiers.Classifier m_CurrentClassifier
        the current classifier.
    • Constructor Detail

      • WekaTrainTestSetEvaluator

        public WekaTrainTestSetEvaluator()
    • Method Detail

      • globalInfo

        public String globalInfo()
        Returns a string describing the object.
        Specified by:
        globalInfo in interface adams.core.GlobalInfoSupporter
        Specified by:
        globalInfo in class adams.core.option.AbstractOptionHandler
        Returns:
        a description suitable for displaying in the gui
      • setPreferJobRunner

        public void setPreferJobRunner​(boolean value)
        Sets whether to offload processing to a JobRunner instance if available.
        Specified by:
        setPreferJobRunner in interface adams.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 interface adams.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 interface adams.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 interface adams.flow.core.InputConsumer
        Returns:
        adams.flow.container.WekaTrainTestSetContainer.class
      • getQuickInfo

        public String getQuickInfo()
        Returns a quick info about the actor, which will be displayed in the GUI.
        Specified by:
        getQuickInfo in interface adams.flow.core.Actor
        Specified by:
        getQuickInfo in interface adams.core.QuickInfoSupporter
        Overrides:
        getQuickInfo in class AbstractCallableWekaClassifierEvaluator
        Returns:
        null if no info available, otherwise short string
      • setUp

        public String setUp()
        Initializes the item for flow execution.
        Specified by:
        setUp in interface adams.flow.core.Actor
        Overrides:
        setUp in class AbstractCallableWekaClassifierEvaluator
        Returns:
        null if everything is fine, otherwise error message
      • doExecute

        protected String doExecute()
        Executes the flow item.
        Specified by:
        doExecute in class adams.flow.core.AbstractActor
        Returns:
        null if everything is fine, otherwise error message
      • stopExecution

        public void stopExecution()
        Stops the execution. No message set.
        Specified by:
        stopExecution in interface adams.flow.core.Actor
        Specified by:
        stopExecution in interface adams.core.Stoppable
        Overrides:
        stopExecution in class adams.flow.core.AbstractActor