Package adams.data.weka.rowfinder

Interface TrainableRowFinder

All Superinterfaces:

Destroyable, OptionHandler, RowFinder

All Known Implementing Classes:

AbstractFilteredRowFinder, AbstractTrainableRowFinder, FilteredIQR, Invert, MultiRowFinder

public interface TrainableRowFinder
extends RowFinder

Interface for RowFinder algorithms that can be trained.

Version:

$Revision$

Author:

fracpete (fracpete at waikato dot ac dot nz)

Method Summary

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

Methods inherited from interface adams.core.Destroyable

destroy

Methods inherited from interface adams.core.option.OptionHandler

cleanUpOptions, defineOptions, getOptionManager, toCommandLine

Methods inherited from interface adams.data.weka.rowfinder.RowFinder

findRows

Method Detail

trainRowFinder

boolean trainRowFinder(weka.core.Instances data)

Trains the row finder with the specified dataset.

Parameters:

data - the training data

Returns:

true if successfully trained

isRowFinderTrained

boolean isRowFinderTrained()

Checks whether the row finder has been trained.

Returns:

true if the row finder has been trained already