Package adams.flow.transformer

Class WekaTrainClassifier

  • 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 WekaTrainClassifier
extends adams.flow.transformer.AbstractTransformer
implements adams.multiprocess.JobRunnerSupporter
    Trains a classifier based on the incoming dataset and outputs the built classifier alongside the training header (in a model container).
    Incremental training is performed, if the input are weka.core.Instance objects and the classifier implements weka.classifiers.UpdateableClassifier.

    Input/output:
    - accepts:
       weka.core.Instances
       weka.core.Instance
    - generates:
       adams.flow.container.WekaModelContainer


    Container information:
    - adams.flow.container.WekaModelContainer: Model, Header, Dataset 

    -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: WekaTrainClassifier
 
    -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
 
    -classifier <adams.flow.core.CallableActorReference> (property: classifier)
    The Weka classifier to train on the input data.
    default: WekaClassifierSetup
 
    -skip-build <boolean> (property: skipBuild)
    If enabled, the buildClassifier call gets skipped in case of incremental
    classifiers, eg, if the model only needs updating after being loaded from
    disk.
    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
      static String BACKUP_INCREMENTALCLASSIFIER
      the key for storing the current incremental classifier in the backup.
      protected adams.flow.core.CallableActorReference m_Classifier
      the name of the callable weka classifier.
      protected weka.classifiers.Classifier m_IncrementalClassifier
      the classifier to use when training incrementally.
      protected adams.flow.standalone.JobRunnerInstance m_JobRunnerInstance
      the JobRunnerInstance to use.
      protected boolean m_PreferJobRunner
      whether to offload training into a JobRunnerInstance.
      protected boolean m_SkipBuild
      whether to skip the buildClassifier call for incremental classifiers.

      • 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.
      protected Hashtable<String,​Object> backupState()
      Backs up the current state of the actor before update the variables.
      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.
      Class[] generates()
      Returns the class of objects that it generates.
      adams.flow.core.CallableActorReference getClassifier()
      Returns the name of the callable classifier in use.
      protected weka.classifiers.Classifier getClassifierInstance()
      Returns an instance of the callable classifier.
      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.
      boolean getSkipBuild()
      Returns whether to skip the buildClassifier call for incremental classifiers.
      String globalInfo()
      Returns a string describing the object.
      String preferJobRunnerTipText()
      Returns the tip text for this property.
      protected void pruneBackup()
      Removes entries from the backup.
      protected void reset()
      Resets the scheme.
      protected void restoreState​(Hashtable<String,​Object> state)
      Restores the state of the actor before the variables got updated.
      void setClassifier​(adams.flow.core.CallableActorReference value)
      Sets the name of the callable classifier to use.
      void setPreferJobRunner​(boolean value)
      Sets whether to offload processing to a JobRunner instance if available.
      void setSkipBuild​(boolean value)
      Sets whether to skip the buildClassifier call for incremental classifiers.
      String setUp()
      Initializes the item for flow execution.
      String skipBuildTipText()
      Returns the tip text for this property.
      void wrapUp()
      Cleans up after the execution has finished.

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

        currentInput, execute, hasInput, hasPendingOutput, input, output, postExecute

      • 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, setAnnotations, setErrorHandler, setName, setParent, setSilent, setSkip, setStopFlowOnError, 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, 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

      • BACKUP_INCREMENTALCLASSIFIER

        public static final String BACKUP_INCREMENTALCLASSIFIER
        the key for storing the current incremental classifier in the backup.
        See Also:
        Constant Field Values

      • m_Classifier

        protected adams.flow.core.CallableActorReference m_Classifier
        the name of the callable weka classifier.

      • m_IncrementalClassifier

        protected weka.classifiers.Classifier m_IncrementalClassifier
        the classifier to use when training incrementally.

      • m_SkipBuild

        protected boolean m_SkipBuild
        whether to skip the buildClassifier call for incremental classifiers.

      • 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.

    • Constructor Detail

      • WekaTrainClassifier

        public WekaTrainClassifier()

    • 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

      • setClassifier

        public void setClassifier​(adams.flow.core.CallableActorReference value)
        Sets the name of the callable classifier to use.
        Parameters:
        value - the name

      • getClassifier

        public adams.flow.core.CallableActorReference getClassifier()
        Returns the name of the callable classifier in use.
        Returns:
        the name

      • classifierTipText

        public String classifierTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.

      • setSkipBuild

        public void setSkipBuild​(boolean value)
        Sets whether to skip the buildClassifier call for incremental classifiers.
        Parameters:
        value - true if to skip the buildClassifier call

      • getSkipBuild

        public boolean getSkipBuild()
        Returns whether to skip the buildClassifier call for incremental classifiers.
        Returns:
        true if to skip buildClassifier

      • skipBuildTipText

        public String skipBuildTipText()
        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 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.

      • 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

      • pruneBackup

        protected void pruneBackup()
        Removes entries from the backup.
        Overrides:
        pruneBackup in class adams.flow.core.AbstractActor

      • backupState

        protected Hashtable<String,​Object> backupState()
        Backs up the current state of the actor before update the variables.
        Overrides:
        backupState in class adams.flow.transformer.AbstractTransformer
        Returns:
        the backup

      • restoreState

        protected void restoreState​(Hashtable<String,​Object> state)
        Restores the state of the actor before the variables got updated.
        Overrides:
        restoreState in class adams.flow.transformer.AbstractTransformer
        Parameters:
        state - the backup of the state to restore from

      • reset

        protected void reset()
        Resets the scheme.
        Overrides:
        reset in class adams.flow.core.AbstractActor

      • accepts

        public Class[] accepts()
        Returns the class that the consumer accepts.
        Specified by:
        accepts in interface adams.flow.core.InputConsumer
        Returns:
        weka.core.Instances.class, weka.core.Instance.class

      • generates

        public Class[] generates()
        Returns the class of objects that it generates.
        Specified by:
        generates in interface adams.flow.core.OutputProducer
        Returns:
        adams.flow.container.WekaModelContainer.class

      • getClassifierInstance

        protected weka.classifiers.Classifier getClassifierInstance()
                                                     throws Exception
        Returns an instance of the callable classifier.
        Returns:
        the classifier
        Throws:
        Exception - if fails to obtain classifier

      • setUp

        public String setUp()
        Initializes the item for flow execution.
        Specified by:
        setUp in interface adams.flow.core.Actor
        Overrides:
        setUp in class adams.flow.core.AbstractActor
        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

      • wrapUp

        public void wrapUp()
        Cleans up after the execution has finished.
        Specified by:
        wrapUp in interface adams.flow.core.Actor
        Overrides:
        wrapUp in class adams.flow.transformer.AbstractTransformer