Package adams.flow.transformer

Class WekaTestSetClustererEvaluator

  • 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, Serializable, Comparable
    public class WekaTestSetClustererEvaluator
extends adams.flow.transformer.AbstractTransformer
    Evaluates a trained clusterer (obtained from input) on the dataset obtained from the callable actor.
    If a class attribute is set, a classes-to-clusters evaluation is performed automatically

    Input/output:
    - accepts:
       weka.clusterers.Clusterer
       adams.flow.container.WekaModelContainer
    - generates:
       adams.flow.container.WekaClusterEvaluationContainer


    Container information:
    - adams.flow.container.WekaModelContainer: Model, Header, Dataset
    - adams.flow.container.WekaClusterEvaluationContainer: Evaluation, Model, Log-likelohood 

    -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel)
    The logging level for outputting errors and debugging output.
    default: WARNING
 
    -name <java.lang.String> (property: name)
    The name of the actor.
    default: WekaTestSetClustererEvaluator
 
    -annotation <adams.core.base.BaseText> (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 gets stopped in case this actor encounters an error;
     useful for critical actors.
    default: false
 
    -testset <adams.flow.core.CallableActorReference> (property: testset)
    The callable actor to use for obtaining the test set.
    default: Testset
 
    -output-model <boolean> (property: outputModel)
    If enabled, the clusterer model is output as well.
    default: false
    Author:
    fracpete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form

    • Field Summary

      Fields 
      Modifier and Type Field Description
      protected boolean m_OutputModel
      whether to output the model as well.
      protected adams.flow.core.CallableActorReference m_Testset
      the name of the callable trainset provider.

      • 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.
      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.
      boolean getOutputModel()
      Returns whether to output the clusterer model as well.
      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 clusterer in use.
      String globalInfo()
      Returns a string describing the object.
      String outputModelTipText()
      Returns the tip text for this property.
      void setOutputModel​(boolean value)
      Sets whether to output the clusterer model as well.
      void setTestset​(adams.flow.core.CallableActorReference value)
      Sets the name of the callable clusterer to use.
      String testsetTipText()
      Returns the tip text for this property.

      • Methods inherited from class adams.flow.transformer.AbstractTransformer

        backupState, currentInput, execute, hasInput, hasPendingOutput, input, output, postExecute, restoreState, wrapUp

      • 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, reset, 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 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

      • 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_Testset

        protected adams.flow.core.CallableActorReference m_Testset
        the name of the callable trainset provider.

      • m_OutputModel

        protected boolean m_OutputModel
        whether to output the model as well.

    • Constructor Detail

      • WekaTestSetClustererEvaluator

        public WekaTestSetClustererEvaluator()

    • 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

      • defineOptions

        public void defineOptions()
        Adds options to the internal list of options.
        Specified by:
        defineOptions in interface adams.core.option.OptionHandler
        Overrides:
        defineOptions in class adams.flow.core.AbstractActor

      • 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 adams.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 clusterer to use.
        Parameters:
        value - the name

      • getTestset

        public adams.flow.core.CallableActorReference getTestset()
        Returns the name of the callable clusterer 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.

      • setOutputModel

        public void setOutputModel​(boolean value)
        Sets whether to output the clusterer model as well.
        Parameters:
        value - true if to output model

      • getOutputModel

        public boolean getOutputModel()
        Returns whether to output the clusterer model as well.
        Returns:
        true if model is output

      • outputModelTipText

        public String outputModelTipText()
        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.clusterers.Clusterer.class, adams.flow.container.WekaModelContainer.class

      • generates

        public Class[] generates()
        Returns the class of objects that it generates.
        Returns:
        String.class or weka.clusterers.Evaluation.class

      • 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