Package adams.flow.source

Class WekaClustererGenerator

  • 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 WekaClustererGenerator
extends AbstractWekaSetupGenerator<weka.clusterers.Clusterer>
    Generates multiple clusterer setups.

    Input/output:
    - generates:
       weka.clusterers.Clusterer


    Valid options are: 

    -D <int> (property: debugLevel)
    The greater the number the more additional info the scheme may output to
    the console (0 = off).
    default: 0
    minimum: 0
 
    -name <java.lang.String> (property: name)
    The name of the actor.
    default: ClustererGenerator
 
    -annotation <adams.core.base.BaseText> (property: annotations)
    The annotations to attach to this actor.
    default:
 
    -skip (property: skip)
    If set to true, transformation is skipped and the input token is just forwarded
    as it is.
 
    -setup <java.lang.Object [options]> (property: setup)
    The base clusterer to use for the setups.
    default: weka.clusterers.SimpleKMeans -N 2 -A \"weka.core.EuclideanDistance -R first-last\" -I 500 -S 10
 
    -parameter <weka.core.setupgenerator.AbstractParameter [options]> [-parameter ...] (property: parameters)
    The parameters to use for generating the setups.
    default: weka.core.setupgenerator.MathParameter -property numClusters -min 2.0 -max 5.0 -step 1.0 -base 10.0 -expression I
 
    -array (property: outputArray)
    If set to true, then an array of setups will be output instead of a sequence.
    Version:
    $Revision$
    Author:
    fracpete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form

    • Constructor Detail

      • WekaClustererGenerator

        public WekaClustererGenerator()

    • Method Detail

      • getDefaultSuperClass

        protected Class getDefaultSuperClass()
        Returns the default super class, the same as the type "T" when defining the generics.
        Specified by:
        getDefaultSuperClass in class AbstractWekaSetupGenerator<weka.clusterers.Clusterer>
        Returns:
        the default super class

      • setSetup

        public void setSetup​(weka.clusterers.Clusterer value)
        Sets the base clusterer.
        Parameters:
        value - the clusterer

      • getSetup

        public weka.clusterers.Clusterer getSetup()
        Returns the base clusterer.
        Returns:
        the clusterer

      • setupTipText

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