Class WekaPrimeForecaster

  • All Implemented Interfaces:
    AdditionalInformationHandler, CleanUpHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, QuickInfoSupporter, ShallowCopySupporter<Actor>, SizeOfHandler, Stoppable, StoppableWithFeedback, VariablesInspectionHandler, VariableChangeListener, Actor, ErrorHandler, InputConsumer, OutputProducer, Serializable, Comparable

    public class WekaPrimeForecaster
    extends AbstractTransformer
    Primes a forecaster with the incoming data and outputs the updated forecaster alongside the training header (in a model container).

    - accepts:
    - generates:

    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
    -name <java.lang.String> (property: name)
        The name of the actor.
        default: WekaPrimeForecaster
    -annotation <adams.core.base.BaseText> (property: annotations)
        The annotations to attach to this actor.
    -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
    -forecaster <adams.flow.core.CallableActorReference> (property: forecaster)
        The Weka forecaster to prime on the input data; can be a adams.flow.container.WekaModelContainer 
        or a weka.classifiers.timeseries.AbstractForecaster.
        default: WekaForecasterSetup
    fracpete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Constructor Detail

      • WekaPrimeForecaster

        public WekaPrimeForecaster()
    • Method Detail

      • setForecaster

        public void setForecaster​(CallableActorReference value)
        Sets the name of the callable forecaster to use.
        value - the name
      • getForecaster

        public CallableActorReference getForecaster()
        Returns the name of the callable forecaster in use.
        the name
      • forecasterTipText

        public String forecasterTipText()
        Returns the tip text for this property.
        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.
        weka.core.Instances.class, weka.core.Instance.class
      • generates

        public Class[] generates()
        Returns the class of objects that it generates.
      • getForecasterInstance

        protected weka.classifiers.timeseries.AbstractForecaster getForecasterInstance()
        Returns an instance of the callable forecaster.
        the forecaster
      • doExecute

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