Ancestor for row score algorithms that use a base algorithm.
Ancestor for algorithms that calculate a score for a spreadsheet row.
Applies the specified array statistic algorithm and returns the specified cell's value as score.
NB: Only collects numeric values from the rows.
Applies the specified base row score algorithm to the specified subset of columns and returns the calculated score.
Calculates the Euclidean distance to a timeseries that is basically a 'flat-liner' with a constant value.
Splits the row into bins with (more or less) same size and applies the base score algorithm to each of the bins.
Uses a mathematical expression to post-process 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 1-based index in the score array.
'null' scores get interpreted as 'NaN'.
Applies the specified row score algorithms sequentially to the row and combines the output.
Computes the percentage of non-missing values per row.
Applies the specified row statistic algorithm and returns the specified cell's value as score.
Applies adams.data.filter.RowNorm to the timeseries before calculating the SAX distance of the timeseries to the baseline.