Class AbstractClassAttributeHeuristic

  • 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
    Direct Known Subclasses:
    AttributeIndex, ByExactName, ByName, LastAttribute, NoClassAttribute

    public abstract class AbstractClassAttributeHeuristic
    extends adams.core.option.AbstractOptionHandler
    Ancestor for heuristics that determine the class attribute for a dataset.
    Version:
    $Revision$
    Author:
    FracPete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Field Summary

      • 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 Abstract Methods 
      Modifier and Type Method Description
      abstract int determineClassAttribute​(weka.core.Instances data)
      Determines the class attribute index for the given dataset.
      • Methods inherited from class adams.core.option.AbstractOptionHandler

        cleanUpOptions, defineOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, globalInfo, 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
    • Constructor Detail

      • AbstractClassAttributeHeuristic

        public AbstractClassAttributeHeuristic()
    • Method Detail

      • determineClassAttribute

        public abstract int determineClassAttribute​(weka.core.Instances data)
        Determines the class attribute index for the given dataset.
        Parameters:
        data - the dataset to inspect
        Returns:
        the index, -1 if failed to determine