Uses of Class
adams.data.spreadsheet.rowscore.AbstractRowScore

Packages that use AbstractRowScore

Package	Description
adams.data.spreadsheet.rowscore
adams.flow.transformer

Uses of AbstractRowScore in adams.data.spreadsheet.rowscore

Subclasses of AbstractRowScore in adams.data.spreadsheet.rowscore

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

Fields in adams.data.spreadsheet.rowscore declared as AbstractRowScore

Modifier and Type	Field	Description
protected AbstractRowScore	AbstractMetaRowScore.m_RowScore	the row score to use on the subset.
protected AbstractRowScore[]	MultiRowScore.m_RowScores	the row score algorithms to use.

Methods in adams.data.spreadsheet.rowscore that return AbstractRowScore

Modifier and Type	Method	Description
protected AbstractRowScore	AbstractMetaRowScore.getDefaultRowScore()	Returns the default row score algorithm to use.
AbstractRowScore	AbstractMetaRowScore.getRowScore()	Returns the row score algorithm in use.
AbstractRowScore[]	MultiRowScore.getRowScores()	Returns the row score algorithms to use.

Methods in adams.data.spreadsheet.rowscore with parameters of type AbstractRowScore

Modifier and Type	Method	Description
void	AbstractMetaRowScore.setRowScore(AbstractRowScore value)	Sets the row score algorithm to use.
void	MultiRowScore.setRowScores(AbstractRowScore[] value)	Sets the row score algorithms to use.

Uses of AbstractRowScore in adams.flow.transformer

Fields in adams.flow.transformer declared as AbstractRowScore

Modifier and Type	Field	Description
protected AbstractRowScore	SpreadSheetInsertRowScore.m_Score	the score algorithm to use.

Methods in adams.flow.transformer that return AbstractRowScore

Modifier and Type	Method	Description
AbstractRowScore	SpreadSheetInsertRowScore.getScore()	Returns the score algorithm to use.

Methods in adams.flow.transformer with parameters of type AbstractRowScore

Modifier and Type	Method	Description
void	SpreadSheetInsertRowScore.setScore(AbstractRowScore value)	Sets the score algorithm to use.