| AbstractMetaRowScore |
Ancestor for row score algorithms that use a base algorithm.
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| AbstractRowScore |
Ancestor for algorithms that calculate a score for a spreadsheet row.
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| ArrayStatistic |
Applies the specified array statistic algorithm and returns the specified cell's value as score.
NB: Only collects numeric values from the rows.
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| ColumnSubset |
Applies the specified base row score algorithm to the specified subset of columns and returns the calculated score.
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| DistanceFromConstant |
Calculates the Euclidean distance to a timeseries that is basically a 'flat-liner' with a constant value.
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| EqualWidthBins |
Splits the row into bins with (more or less) same size and applies the base score algorithm to each of the bins.
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| MathExpression |
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'.
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| MultiRowScore |
Applies the specified row score algorithms sequentially to the row and combines the output.
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| NonMissing |
Computes the percentage of non-missing values per row.
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| RowStatistic |
Applies the specified row statistic algorithm and returns the specified cell's value as score.
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| SAXDistanceFromBaseline |
Applies adams.data.filter.RowNorm to the timeseries before calculating the SAX distance of the timeseries to the baseline.
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