Uses of Interface
adams.core.ErrorProvider

Packages that use ErrorProvider

Package	Description
adams.data.io.input
adams.data.spreadsheet.colstatistic
adams.data.spreadsheet.matrixstatistic
adams.data.spreadsheet.rowscore
adams.data.spreadsheet.rowstatistic
adams.flow.control.plotprocessor
adams.flow.control.removeoutliers
adams.gui.scripting
weka.classifiers

Uses of ErrorProvider in adams.data.io.input

Subinterfaces of ErrorProvider in adams.data.io.input

Modifier and Type	Interface	Description
interface	ChunkedSpreadSheetReader	Interface for spreadsheet readers that can read data in chunks rather than only all at once.
interface	InitialRowSkippingSpreadSheetReader	Interface for spreadsheet readers that can skip initial rows.
interface	MissingValueSpreadSheetReader	Interface for spreadsheet readers that handle missing values.
interface	MultiSheetSpreadSheetReader<T extends Range>	Interface for spreadsheet readers that can read multiple sheets from the same document.
interface	NoHeaderSpreadSheetReader	Interface for spreadsheet readers that support sheets with no headers.
interface	SpreadSheetReader	Interface for spreadsheet readers.
interface	WindowedSpreadSheetReader	Allows the retrieval of a certain "window" of rows from the data.

Classes in adams.data.io.input that implement ErrorProvider

Modifier and Type	Class	Description
class	AbstractExcelSpreadSheetReader<T extends Range>	Ancestor for special Excel readers.
class	AbstractMultiSheetSpreadSheetReader<T extends Range>	Ancestor for spreadsheet readers that can read multiple sheets from a document in one go.
class	AbstractMultiSheetSpreadSheetReaderWithMissingValueSupport<T extends Range>	Ancestor for spreadsheet readers that allow the specification of a custom missing value string.
class	AbstractSpreadSheetReader	Ancestor for classes that can read spreadsheets.
class	AbstractSpreadSheetReaderWithMissingValueSupport	Ancestor for spreadsheet readers that allow the specification of a custom missing value string.
class	AbstractWekaSpreadSheetReader	Ancestor for WEKA file format readers.
class	AccessSpreadSheetReader	Allows the reading of MS Access databases.
class	ArffSpreadSheetReader	Reads WEKA datasets in ARFF format and turns them into spreadsheets.
class	AutoWidthTabularSpreadSheetReader	Reads simple tabular text files, using column widths as defined by the header row.
class	CsvSpreadSheetReader	Reads CSV files. It is possible to force columns to be text.
class	ExcelSpreadSheetReader	Reads MS Excel files (using DOM).
class	ExcelStreamingSpreadSheetReader	Reads large MS Excel XML files (using streaming via SAX). Increasing the debug level to more than 1 results in outputting detailed information on cells.
class	FastCsvSpreadSheetReader	Simplified CSV spreadsheet reader for loading large files.
class	FixedTabularSpreadSheetReader	Reads simple tabular text files with fixed column widths, as used by dot matrix printers in days gone by.
class	GnumericSpreadSheetReader	Reads Gnumeric workbook files (GZIP compressed or uncompressed XML), version 1.10.13.
class	JSONSpreadSheetReader	Reads WEKA datasets in JSON format and turns them into spreadsheets.
class	LibSVMSpreadSheetReader	Reads WEKA datasets in LibSVM format and turns them into spreadsheets.
class	Mat5SpreadSheetReader	Reads Matlab .mat files (format 5)
class	MatlabSpreadSheetReader	Reads WEKA datasets in ARFF format and turns them into spreadsheets.
class	ODFSpreadSheetReader	Reads ODF (Open Document Format) spreadsheet files. If a row contains only empty cells, this is interpreted as the end of the sheet.
class	PNGSpreadSheetReader	Reads PNGs as spreadsheet, e.g., for reading indexed PNGs.
class	PropertiesSpreadSheetReader	Turns Java properties files into spreadsheets with two columns: Key and Value.
class	SimpleArffSpreadSheetReader	Simple reader for Weka ARFF files, only supports NUMERIC, NOMINAL, STRING and DATE attributes.
class	SimpleCsvSpreadSheetReader	Reads CSV files. It is possible to force columns to be text.
class	SimpleStreamSpreadSheetReader	Reads file in simple stream format: - one spreadsheet row per line in the output - cells are separated by TAB - cell format: '<1-based index>:<content-type ID>:<content>' NB: tabs, new lines etc in the content get backquoted.
class	SqlDumpSpreadSheetReader	Reads in SQL dump files.
class	SVMLightSpreadSheetReader	Reads WEKA datasets in ARFF format and turns them into spreadsheets.
class	TsvSpreadSheetReader	Reads TSV (tab-separated values) files. It is possible to force columns to be text.
class	XrffSpreadSheetReader	Reads WEKA datasets in ARFF format and turns them into spreadsheets.

Uses of ErrorProvider in adams.data.spreadsheet.colstatistic

Classes in adams.data.spreadsheet.colstatistic that implement ErrorProvider

Modifier and Type	Class	Description
class	AbstractColumnStatistic	Ancestor for column statistic generators.
class	AbstractDoubleArrayColumnStatistic	Ancestor for statistics that just use all numeric values in the column.
class	ArrayStatistic	Pushes the numeric column through the specified array statistic.
class	Distinct	Counts the distinct numeric/string values.
class	IQR	Calculates the IQR (interquartile range) for a numeric column.
class	LabelCounts	Counts how often a label (ie string) occurs.
class	Max	Calculates the max for a numeric column.
class	Mean	Calculates the mean for a numeric column.
class	Median	Calculates the median for a numeric column.
class	Min	Calculates the min for a numeric column.
class	Missing	Counts the missing cells.
class	MultiColumnStatistic	Combines the statistics calculated from the specified statistic generators.
class	Percentile	Calculates the specified percentile.
class	SignalToNoiseRatio	Calculates the signal to noise ratio for a numeric column. For more information, see: WikiPedia.
class	StandardDeviation	Calculates the standard deviation (population or sample).
class	Sum	Calculates the sum for a numeric column.
class	Unique	Counts the unique occurrences of numeric/string values.

Uses of ErrorProvider in adams.data.spreadsheet.matrixstatistic

Classes in adams.data.spreadsheet.matrixstatistic that implement ErrorProvider

Modifier and Type	Class	Description
class	AbstractMatrixStatistic	Ancestor for matrix statistic generators, i.e., ones that take the specified subset of the spreadsheet into account.
class	Max	Determines the largest numeric value in the matrix, skips NaN and infinity values.
class	Mean	Determines the mean of the numeric values in the matrix, skips NaN and infinite values.
class	Median	Determines the median of the numeric values in the matrix, skips NaN and infinite values.
class	Min	Determines the smallest numeric value in the matrix, skips NaN and infinite values.
class	Missing	Counts the missing cells in the spreadsheet.
class	MultiMatrixStatistic	Combines the statistics calculated from the specified statistic generators.
class	StandardDeviation	Determines the standard deviation of the numeric values in the matrix, skips NaN and infinite values.

Uses of ErrorProvider in adams.data.spreadsheet.rowscore

Classes in adams.data.spreadsheet.rowscore that implement ErrorProvider

Modifier and Type	Class	Description
class	AbstractMetaRowScore	Ancestor for row score algorithms that use a base algorithm.
class	AbstractRowScore	Ancestor for algorithms that calculate a score for a spreadsheet row.
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.

Uses of ErrorProvider in adams.data.spreadsheet.rowstatistic

Classes in adams.data.spreadsheet.rowstatistic that implement ErrorProvider

Modifier and Type	Class	Description
class	AbstractDoubleArrayRowStatistic	Ancestor for statistics that just use all numeric values in the row.
class	AbstractRowStatistic	Ancestor for row statistic generators.
class	ArrayStatistic	Pushes the numeric row through the specified array statistic.
class	Distinct	Counts the distinct numeric/string values.
class	IQR	Calculates the IQR (interquartile range) for a numeric row.
class	LabelCounts	Counts how often a label (ie string) occurs.
class	Max	Calculates the max for a numeric row.
class	Mean	Calculates the mean for a numeric row.
class	Median	Calculates the median for a numeric row.
class	Min	Calculates the min for a numeric row.
class	Missing	Counts the missing cells.
class	MultiRowStatistic	Combines the statistics calculated from the specified statistic generators.
class	Percentile	Calculates the specified percentile.
class	SignalToNoiseRatio	Calculates the signal to noise ratio for a numeric row. For more information, see: WikiPedia.
class	StandardDeviation	Calculates the standard deviation (population or sample).
class	Sum	Calculates the sum for a numeric row.
class	Unique	Counts the unique occurrences of numeric/string values.

Uses of ErrorProvider in adams.flow.control.plotprocessor

Classes in adams.flow.control.plotprocessor that implement ErrorProvider

Modifier and Type	Class	Description
class	AbstractPlotProcessor	Ancestor for processors of plot containers.
class	AbstractPlotProcessorWithBuffer<T>	Ancestor for post-processors that work on a buffer of plot containers.
class	Expression	Applies a mathematical function to the data (separately for X and Y). Values can be accessed using 'xN' and 'yN' with 'N' being the 1-based index in the current window.
class	LOWESS	A processor that applies LOWESS smoothing. For more information see: WikiPedia.
class	PassThrough	Dummy processor which never generates any new containers.
class	SavitzkyGolay	A processor that applies SavitzkyGolay smoothing. For more information see: A.
class	SimpleSavitzkyGolay	A processor that applies SimpleSavitzkyGolay smoothing. For more information see: A.

Uses of ErrorProvider in adams.flow.control.removeoutliers

Classes in adams.flow.control.removeoutliers that implement ErrorProvider

Modifier and Type	Class	Description
class	AbstractNumericOutlierDetector	Ancestor for numeric outlier detection.
class	AbstractOutlierDetector	Ancestor for outlier detectors of actual vs predicted.
class	IQR	Interquartile range based detector. If difference between actual/predicted is more than the factor of standard deviations away from the quartial 0.25/0.75, then the point gets flagged as outlier.
class	MeanAbsoluteError	Mean absolute error (MAE) based detector. If difference between actual/predicted is more than MAE * FACTOR, then the point gets flagged as outlier.
class	MultiOutlierDetector	Applies the specified outlier detectors sequentially and combines the detected outliers either via union or intersect.
class	Null	Dummy outlier detector, detects no outliers at all.
class	StdDev	Standard deviation based detector. If difference between actual/predicted is more than the factor of standard deviations away from the mean, then the point gets flagged as outlier.

Uses of ErrorProvider in adams.gui.scripting

Classes in adams.gui.scripting that implement ErrorProvider

Modifier and Type	Class	Description
class	AbstractScriptingEngine	Processes scripting commands.
class	ScriptingEngine	Processes scripting commands.

Uses of ErrorProvider in weka.classifiers

Classes in weka.classifiers that implement ErrorProvider

Modifier and Type	Class	Description
class	AggregateEvaluations	Allows the aggregation of Evaluation objects.