Class MultiRowScore

  • All Implemented Interfaces:
    Destroyable, ErrorProvider, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, Serializable

    public class MultiRowScore
    extends AbstractRowScore
    Applies the specified row score algorithms sequentially to the row and combines the output.

    -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel)
        The logging level for outputting errors and debugging output.
        default: WARNING
    -row-score <> [-row-score ...] (property: rowScores)
        The row score algorithms to apply.
    fracpete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Field Detail

      • m_RowScores

        protected AbstractRowScore[] m_RowScores
        the row score algorithms to use.
    • Constructor Detail

      • MultiRowScore

        public MultiRowScore()
    • Method Detail

      • setRowScores

        public void setRowScores​(AbstractRowScore[] value)
        Sets the row score algorithms to use.
        value - the algorithms
      • getRowScores

        public AbstractRowScore[] getRowScores()
        Returns the row score algorithms to use.
        the algorithms
      • rowScoresTipText

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

        public int getNumScores()
        Returns how many score values will get generated.
        Specified by:
        getNumScores in class AbstractRowScore
        the number of scores
      • doCalculateScore

        protected Double[] doCalculateScore​(SpreadSheet sheet,
                                            int rowIndex)
        Performs the actual calculation of the row score.
        Specified by:
        doCalculateScore in class AbstractRowScore
        sheet - the spreadsheet to generate the score for
        rowIndex - the row index
        the generated score, null in case of an error