AbstractMetaRowScore 
Ancestor for row score algorithms that use a base algorithm.

AbstractRowScore 
Ancestor for algorithms that calculate a score for a spreadsheet row.

ArrayStatistic 
Applies the specified array statistic algorithm and returns the specified cell's value as score.
NB: Only collects numeric values from the rows.

ColumnSubset 
Applies the specified base row score algorithm to the specified subset of columns and returns the calculated score.

DistanceFromConstant 
Calculates the Euclidean distance to a timeseries that is basically a 'flatliner' with a constant value.

EqualWidthBins 
Splits the row into bins with (more or less) same size and applies the base score algorithm to each of the bins.

MathExpression 
Uses a mathematical expression to postprocess or combine the score(s) returned from the base row score algorithm.
The individual scores of the base algorithm can be accessed using placeholders of the format: [n] with 'n' being the 1based index in the score array.
'null' scores get interpreted as 'NaN'.

MultiRowScore 
Applies the specified row score algorithms sequentially to the row and combines the output.

NonMissing 
Computes the percentage of nonmissing values per row.

RowStatistic 
Applies the specified row statistic algorithm and returns the specified cell's value as score.

SAXDistanceFromBaseline 
Applies adams.data.filter.RowNorm to the timeseries before calculating the SAX distance of the timeseries to the baseline.
