Uses of Interface
adams.data.weka.columnfinder.ColumnFinder
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Packages that use ColumnFinder Package Description adams.data.weka.columnfinder adams.data.weka.datasetsplitter adams.flow.transformer.wekadatasetsmerge weka.filters.unsupervised.attribute -
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Uses of ColumnFinder in adams.data.weka.columnfinder
Subinterfaces of ColumnFinder in adams.data.weka.columnfinder Modifier and Type Interface Description interface
TrainableColumnFinder
Interface forColumnFinder
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 forColumnFinder
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.
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