Class AbstractFinalModelGenerator

  • 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:
    Null, Simple, VotedFolds

    public abstract class AbstractFinalModelGenerator
    extends adams.core.option.AbstractOptionHandler
    .
    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 void generate​(AbstractClassifierEvaluation eval, weka.core.Instances data, ResultItem item)
      Builds the final model and stores it in the result item.
      • 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

      • AbstractFinalModelGenerator

        public AbstractFinalModelGenerator()
    • Method Detail

      • generate

        public abstract void generate​(AbstractClassifierEvaluation eval,
                                      weka.core.Instances data,
                                      ResultItem item)
        Builds the final model and stores it in the result item.
        Parameters:
        eval - the evaluation that generated the result item
        data - the full training data
        item - the result item