Package adams.data.weka.columnfinder

Interface TrainableColumnFinder

All Superinterfaces:

ColumnFinder, adams.core.Destroyable, adams.core.option.OptionHandler

All Known Implementing Classes:

AbstractFilteredColumnFinder, AbstractTrainableColumnFinder, Invert, MultiColumnFinder, RowFilteredColumnFinder

public interface TrainableColumnFinder
extends ColumnFinder

Interface for ColumnFinder algorithms that can be trained.

Version:

$Revision$

Author:

fracpete (fracpete at waikato dot ac dot nz)

Method Summary

Modifier and Type	Method	Description
boolean	isColumnFinderTrained()	Checks whether the column finder has been trained.
boolean	trainColumnFinder(weka.core.Instances data)	Trains the column finder with the specified dataset.

Methods inherited from interface adams.data.weka.columnfinder.ColumnFinder

findColumns

Methods inherited from interface adams.core.Destroyable

destroy

Methods inherited from interface adams.core.option.OptionHandler

cleanUpOptions, defineOptions, getOptionManager, toCommandLine

Method Detail

trainColumnFinder

boolean trainColumnFinder(weka.core.Instances data)

Trains the column finder with the specified dataset.

Parameters:

data - the training data

Returns:

true if successfully trained

isColumnFinderTrained

boolean isColumnFinderTrained()

Checks whether the column finder has been trained.

Returns:

true if the column finder has been trained already