Package adams.data.weka.columnfinder

Interface Summary

Interface	Description
ColumnFinder	Interface for classes that "find" columns of interest in datasets.
TrainableColumnFinder	Interface for ColumnFinder algorithms that can be trained.

Class Summary

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

Enum Summary

Enum	Description
MultiColumnFinder.Combination	How combine the indices.