Uses of Interface
adams.data.weka.columnfinder.ColumnFinder

Packages that use ColumnFinder

Package	Description
adams.data.weka.columnfinder
adams.data.weka.datasetsplitter
adams.flow.transformer.wekadatasetsmerge
weka.filters.unsupervised.attribute

Uses of ColumnFinder in adams.data.weka.columnfinder

Subinterfaces of ColumnFinder in adams.data.weka.columnfinder

Modifier and Type	Interface	Description
interface	TrainableColumnFinder	Interface for ColumnFinder algorithms that can be trained.

Classes in adams.data.weka.columnfinder that implement ColumnFinder

Modifier and Type	Class	Description
class	AbstractColumnFinder	Ancestor for classes that find columns of interest in datasets.
class	AbstractColumnFinderWithCapabilities	Ancestor for classes that find columns of interest in datasets.
class	AbstractFilteredColumnFinder	Ancestor for column finders that pre-filter the columns.
class	AbstractTrainableColumnFinder	Ancestor for ColumnFinder algorithms that can be trained.
class	AllFinder	Dummy finder, finds all columns.
class	ByExactName	Returns indices of columns which names match the exact name.
class	ByName	Returns indices of attributes which names match the regular expression.
class	Class	Column finder which finds the class column (if one is set).
class	Constant	Column finder that finds a constant set of columns.
class	Invert	Inverts the selected columns of the provided sub-column-filter.
class	MultiColumnFinder	Applies multiple column finding algorithms to the data. The indices can be either joined or intersected.
class	NullFinder	Dummy finder, does not find any columns.
class	RowFilteredColumnFinder	This column finder first filters the rows before finding any columns on the subset of rows.

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

Modifier and Type	Field	Description
protected ColumnFinder	AbstractFilteredColumnFinder.m_ColumnFinder	the ColumnFinder to apply.
protected ColumnFinder[]	MultiColumnFinder.m_Finders	the column finders to use.

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

Modifier and Type	Method	Description
static ColumnFinder	AbstractColumnFinder.forCommandLine(String cmdline)	Instantiates the column finder from the given commandline (i.e., classname and optional options).
static ColumnFinder	AbstractColumnFinder.forName(String classname, String[] options)	Instantiates the column finder with the given options.
ColumnFinder	AbstractFilteredColumnFinder.getColumnFinder()	Returns the column finder in use.
ColumnFinder[]	MultiColumnFinder.getFinders()	Returns the column finders in use.
ColumnFinder	AbstractColumnFinder.shallowCopy()	Returns a shallow copy of itself, i.e., based on the commandline options.
ColumnFinder	AbstractColumnFinder.shallowCopy(boolean expand)	Returns a shallow copy of itself, i.e., based on the commandline options.

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

Modifier and Type	Method	Description
void	AbstractFilteredColumnFinder.setColumnFinder(ColumnFinder value)	Sets the column finder to use.
void	MultiColumnFinder.setFinders(ColumnFinder[] value)	Sets the column finders to use.

Uses of ColumnFinder in adams.data.weka.datasetsplitter

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

Modifier and Type	Field	Description
protected ColumnFinder	ColumnSplitter.m_ColumnFinder	Column-finder for selecting which attributes go in which dataset.

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

Modifier and Type	Method	Description
ColumnFinder	ColumnSplitter.getColumnFinder()	Gets the column finder.

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

Modifier and Type	Method	Description
void	ColumnSplitter.setColumnFinder(ColumnFinder value)	Sets the column finder.

Uses of ColumnFinder in adams.flow.transformer.wekadatasetsmerge

Fields in adams.flow.transformer.wekadatasetsmerge declared as ColumnFinder

Modifier and Type	Field	Description
protected ColumnFinder	AbstractMerge.m_ClassFinder	The column finder for selecting class attributes.

Methods in adams.flow.transformer.wekadatasetsmerge that return ColumnFinder

Modifier and Type	Method	Description
ColumnFinder	AbstractMerge.getClassFinder()	Gets the finder to use for finding class attributes in the source datasets.

Methods in adams.flow.transformer.wekadatasetsmerge with parameters of type ColumnFinder

Modifier and Type	Method	Description
void	AbstractMerge.setClassFinder(ColumnFinder value)	Sets the finder to use for finding class attributes in the source datasets.

Uses of ColumnFinder in weka.filters.unsupervised.attribute

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

Modifier and Type	Field	Description
protected ColumnFinder	AbstractColumnFinderApplier.m_ColumnFinder	The classifier template used to do the classification.
protected ColumnFinder	AttributeSummaryTransferFilter.m_ColumnFinder	The column-finder which selects the attributes to summarise.

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

Modifier and Type	Method	Description
ColumnFinder	AbstractColumnFinderApplier.getColumnFinder()	Returns the column finder used by the filter.
ColumnFinder	AttributeSummaryTransferFilter.getColumnFinder()	Gets the column finder which selects the attributes for summarisation.
ColumnFinder	AttributeSummaryTransferFilter.getDefaultColumnFinder()	Gets the default column finder which selects the attributes for summarisation.

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

Modifier and Type	Method	Description
void	AbstractColumnFinderApplier.setColumnFinder(ColumnFinder value)	Sets the column finder to use.
void	AttributeSummaryTransferFilter.setColumnFinder(ColumnFinder value)	Sets the column finder which selects the attributes for summarisation.