Package adams.data.weka.datasetsplitter

Class AbstractSplitter

  • 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:
    ColumnSplitter, RowSplitter
    public abstract class AbstractSplitter
extends adams.core.option.AbstractOptionHandler
    Parent class for different methods of splitting a dataset into smaller datasets.
    Author:
    Corey Sterling (csterlin 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 weka.core.Instances[] split​(weka.core.Instances dataset)
      Splits the given dataset into a number of other datasets.

      • 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

      • AbstractSplitter

        public AbstractSplitter()

    • Method Detail

      • split

        public abstract weka.core.Instances[] split​(weka.core.Instances dataset)
        Splits the given dataset into a number of other datasets. Should be implemented by sub-classes to perform actual splitting.
        Parameters:
        dataset - The dataset to split.
        Returns:
        An array of datasets resulting from the split.