Class WekaClustererSetup

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

    public class WekaClustererSetup
    extends AbstractSimpleSourceWithPropertiesUpdating
    Outputs an instance of the specified clusterer.

    - generates:

    -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: WekaClustererSetup
    -annotation <adams.core.base.BaseAnnotation> (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 execution at this level gets stopped in case this
        actor encounters an error; the error gets propagated; useful for critical
        default: false
    -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
    -property <adams.core.base.BaseString> [-property ...] (property: properties)
        The properties to update with the values associated with the specified values.
    -variable <adams.core.VariableName> [-variable ...] (property: variableNames)
        The names of the variables to update the properties with.
    -clusterer <weka.clusterers.Clusterer> (property: clusterer)
        The Weka clusterer to build on the input data.
        default: weka.clusterers.SimpleKMeans -init 0 -max-candidates 100 -periodic-pruning 10000 -min-density 2.0 -t1 -1.25 -t2 -1.0 -N 2 -A \"weka.core.EuclideanDistance -R first-last\" -I 500 -num-slots 1 -S 10
    fracpete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Field Detail

      • m_Clusterer

        protected weka.clusterers.Clusterer m_Clusterer
        the weka clusterer.
    • Constructor Detail

      • WekaClustererSetup

        public WekaClustererSetup()
    • Method Detail

      • setClusterer

        public void setClusterer​(weka.clusterers.Clusterer value)
        Sets the clusterer to use.
        value - the clusterer
      • getClusterer

        public weka.clusterers.Clusterer getClusterer()
        Returns the clusterer in use.
        the clusterer
      • clustererTipText

        public String clustererTipText()
        Returns the tip text for this property.
        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.
      • doExecute

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