Class MultiClassifiersCombinerModels

  • All Implemented Interfaces:
    adams.core.Destroyable, adams.core.GlobalInfoSupporter, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.option.OptionHandler, adams.core.SizeOfHandler, Serializable

    public class MultiClassifiersCombinerModels
    extends AbstractWekaEnsembleGenerator
    Generates a MultipleClassifiersCombiner meta-classifier from the incoming pre-built classifier models.
    Author:
    FracPete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Field Summary

      Fields 
      Modifier and Type Field Description
      protected weka.classifiers.MultipleClassifiersCombiner m_Template
      the vote template.
      • Fields inherited from class adams.core.option.AbstractOptionHandler

        m_OptionManager
      • Fields inherited from class adams.core.logging.LoggingObject

        m_Logger, m_LoggingIsEnabled, m_LoggingLevel
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      Class[] accepts()
      Returns the input data the generator processes.
      protected String check​(Object input)
      Check method before generating the ensemble.
      void defineOptions()
      Adds options to the internal list of options.
      protected Object doGenerate​(Object input)
      Generates the ensemble from the input.
      Class[] generates()
      Returns the output data the generator generates.
      weka.classifiers.MultipleClassifiersCombiner getTemplate()
      Returns the MultipleClassifiersCombiner template to use.
      String globalInfo()
      Returns a string describing the object.
      void setTemplate​(weka.classifiers.MultipleClassifiersCombiner value)
      Sets the MultipleClassifiersCombiner template to use.
      String voteTipText()
      Returns the tip text for this property.
      • Methods inherited from class adams.core.option.AbstractOptionHandler

        cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString
      • Methods inherited from class adams.core.logging.LoggingObject

        configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
      • Methods inherited from interface adams.core.logging.LoggingLevelHandler

        getLoggingLevel
    • Field Detail

      • m_Template

        protected weka.classifiers.MultipleClassifiersCombiner m_Template
        the vote template.
    • Constructor Detail

      • MultiClassifiersCombinerModels

        public MultiClassifiersCombinerModels()
    • 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.core.option.AbstractOptionHandler
      • setTemplate

        public void setTemplate​(weka.classifiers.MultipleClassifiersCombiner value)
        Sets the MultipleClassifiersCombiner template to use.
        Parameters:
        value - the template
      • getTemplate

        public weka.classifiers.MultipleClassifiersCombiner getTemplate()
        Returns the MultipleClassifiersCombiner template to use.
        Returns:
        the template
      • voteTipText

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

        protected String check​(Object input)
        Check method before generating the ensemble.
        Overrides:
        check in class AbstractWekaEnsembleGenerator
        Parameters:
        input - the input to use
        Returns:
        null if checks passed, otherwise error message