Uses of Interface
adams.data.weka.rowfinder.RowFinder

Packages that use RowFinder

Package	Description
adams.data.weka.columnfinder
adams.data.weka.datasetsplitter
adams.data.weka.rowfinder
weka.filters.unsupervised.attribute
weka.filters.unsupervised.instance

Uses of RowFinder in adams.data.weka.columnfinder

Fields in adams.data.weka.columnfinder declared as RowFinder

Modifier and Type	Field	Description
protected RowFinder	RowFilteredColumnFinder.m_RowFinder	the RowFinder to use first.

Methods in adams.data.weka.columnfinder that return RowFinder

Modifier and Type	Method	Description
RowFinder	RowFilteredColumnFinder.getRowFinder()	Returns the row finder in use.

Methods in adams.data.weka.columnfinder with parameters of type RowFinder

Modifier and Type	Method	Description
void	RowFilteredColumnFinder.setRowFinder(RowFinder value)	Sets the row finder to use.

Uses of RowFinder in adams.data.weka.datasetsplitter

Fields in adams.data.weka.datasetsplitter declared as RowFinder

Modifier and Type	Field	Description
protected RowFinder	RowSplitter.m_RowFinder	The selector for splitting rows between the two datasets.

Methods in adams.data.weka.datasetsplitter that return RowFinder

Modifier and Type	Method	Description
RowFinder	RowSplitter.getRowFinder()	Gets the row-finder to use to select rows for the first dataset.

Methods in adams.data.weka.datasetsplitter with parameters of type RowFinder

Modifier and Type	Method	Description
void	RowSplitter.setRowFinder(RowFinder value)	Sets the row-finder to use to select rows for the first dataset.

Uses of RowFinder in adams.data.weka.rowfinder

Subinterfaces of RowFinder in adams.data.weka.rowfinder

Modifier and Type	Interface	Description
interface	TrainableRowFinder	Interface for RowFinder algorithms that can be trained.

Classes in adams.data.weka.rowfinder that implement RowFinder

Modifier and Type	Class	Description
class	AbstractFilteredRowFinder	Ancestor for row finders that pre-filter the rows.
class	AbstractRowFinder	Ancestor for classes that find rows of interest in datasets.
class	AbstractRowFinderWithCapabilities	Ancestor for classes that find rows of interest in datasets.
class	AbstractTrainableRowFinder	Ancestor for RowFinder algorithms that can be trained.
class	AllFinder	Dummy finder, finds all rows.
class	ByLabel	Returns the indices of rows which attributes labels match the provided regular expression.
class	ByNumericRange	Returns indices of rows which numeric value match the min/max.
class	ByNumericValue	Returns indices of rows which numeric value match the min/max.
class	Constant	Row finder that finds a constant set of rows.
class	FilteredIQR	Returns indices of rows that got identified as outliers/extreme values.
class	Invert	Inverts the selected rows of the provided sub-row-filter.
class	MultiRowFinder	Applies multiple row finding algorithms to the data. The indices can be either joined or intersected.
class	NullFinder	Dummy finder, does not find any rows.

Fields in adams.data.weka.rowfinder declared as RowFinder

Modifier and Type	Field	Description
protected RowFinder[]	MultiRowFinder.m_Finders	the row finders to use.
protected RowFinder	AbstractFilteredRowFinder.m_RowFinder	the RowFinder to apply.

Methods in adams.data.weka.rowfinder that return RowFinder

Modifier and Type	Method	Description
static RowFinder	AbstractRowFinder.forCommandLine(String cmdline)	Instantiates the row finder from the given commandline (i.e., classname and optional options).
static RowFinder	AbstractRowFinder.forName(String classname, String[] options)	Instantiates the row finder with the given options.
RowFinder[]	MultiRowFinder.getFinders()	Returns the row finders in use.
RowFinder	AbstractFilteredRowFinder.getRowFinder()	Returns the row finder in use.
RowFinder	AbstractRowFinder.shallowCopy()	Returns a shallow copy of itself, i.e., based on the commandline options.
RowFinder	AbstractRowFinder.shallowCopy(boolean expand)	Returns a shallow copy of itself, i.e., based on the commandline options.

Methods in adams.data.weka.rowfinder with parameters of type RowFinder

Modifier and Type	Method	Description
void	MultiRowFinder.setFinders(RowFinder[] value)	Sets the row finders to use.
void	AbstractFilteredRowFinder.setRowFinder(RowFinder value)	Sets the row finder to use.

Uses of RowFinder in weka.filters.unsupervised.attribute

Fields in weka.filters.unsupervised.attribute declared as RowFinder

Modifier and Type	Field	Description
protected RowFinder	AttributeSummaryTransferFilter.m_RowFinder	The row-finder which separates training data from actual data.

Methods in weka.filters.unsupervised.attribute that return RowFinder

Modifier and Type	Method	Description
RowFinder	AttributeSummaryTransferFilter.getDefaultRowFinder()	Gets the default training data row selector.
RowFinder	AttributeSummaryTransferFilter.getRowFinder()	Gets the training data row selector.

Methods in weka.filters.unsupervised.attribute with parameters of type RowFinder

Modifier and Type	Method	Description
void	AttributeSummaryTransferFilter.setRowFinder(RowFinder value)	Sets the training data row selector.

Uses of RowFinder in weka.filters.unsupervised.instance

Fields in weka.filters.unsupervised.instance declared as RowFinder

Modifier and Type	Field	Description
protected RowFinder	AbstractRowFinderApplier.m_RowFinder	The classifier template used to do the classification.
protected RowFinder	AccumulatedLWLWeights.m_RowFinder	the row finder to use if enabled.

Methods in weka.filters.unsupervised.instance that return RowFinder

Modifier and Type	Method	Description
RowFinder	AbstractRowFinderApplier.getRowFinder()	Returns the row finder used by the filter.
RowFinder	AccumulatedLWLWeights.getRowFinder()	Returns the row finder scheme.

Methods in weka.filters.unsupervised.instance with parameters of type RowFinder

Modifier and Type	Method	Description
void	AbstractRowFinderApplier.setRowFinder(RowFinder value)	Sets the row finder to use.
void	AccumulatedLWLWeights.setRowFinder(RowFinder value)	Sets the row finder scheme.