Package adams.flow.source

Class WekaForecasterSetup

  • All Implemented Interfaces:
    AdditionalInformationHandler, CleanUpHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, QuickInfoSupporter, ShallowCopySupporter<Actor>, SizeOfHandler, Stoppable, StoppableWithFeedback, VariablesInspectionHandler, VariableChangeListener, Actor, ErrorHandler, OutputProducer, Serializable, Comparable
    public class WekaForecasterSetup
extends AbstractSimpleSource
    Outputs a configured instance of a Weka Forecaster.

    Input/output:
    - generates:
       weka.classifiers.timeseries.AbstractForecaster


    -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: WekaForecasterSetup
 
    -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
 
    -generator <adams.flow.source.wekaforecastersetup.AbstractForecasterGenerator> (property: generator)
    The forecaster generator to use.
    default: adams.flow.source.wekaforecastersetup.WekaForecasterGenerator -classifier \"weka.classifiers.functions.LinearRegression -S 0 -R 1.0E-8\" -lag-maker adams.flow.core.LagMakerOptions
    Version:
    $Revision$
    Author:
    fracpete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form

    • Constructor Detail

      • WekaForecasterSetup

        public WekaForecasterSetup()

    • Method Detail

      • setGenerator

        public void setGenerator​(AbstractForecasterGenerator value)
        Sets the generator to use.
        Parameters:
        value - the generator

      • generatorTipText

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

      • generates

        public Class[] generates()
        Returns the class of objects that it generates.
        Returns:
        weka.classifiers.timeseries.AbstractForecaster.class

      • doExecute

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