Package adams.data.filter

Interface TrainableBatchFilter<T extends DataContainer>

Type Parameters:

T - the type of data

All Superinterfaces:

BatchFilter<T>, CleanUpHandler, Comparable, Destroyable, Filter<T>, LoggingLevelHandler, LoggingSupporter, OptionHandler, ShallowCopySupporter<Filter>

All Known Implementing Classes:

OutlierDetector

public interface TrainableBatchFilter<T extends DataContainer>
extends BatchFilter<T>

Interface for trainable batch filters.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

Method Summary

Modifier and Type	Method	Description
boolean	isTrained()	Returns whether the filter has been trained already and is ready to use.
void	resetFilter()	Resets the filter, i.e., flags it as "not trained".
void	trainFilter(T[] data)	Trains the filter with the specified data.

Methods inherited from interface adams.data.filter.BatchFilter

batchFilter

Methods inherited from interface adams.data.filter.Filter

cleanUp, compareTo, destroy, dontUpdateIDTipText, equals, filter, getDontUpdateID, reset, setDontUpdateID, shallowCopy, shallowCopy

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel, setLoggingLevel

Methods inherited from interface adams.core.logging.LoggingSupporter

getLogger, isLoggingEnabled

Methods inherited from interface adams.core.option.OptionHandler

cleanUpOptions, defineOptions, getOptionManager, toCommandLine

Method Detail

resetFilter

void resetFilter()

Resets the filter, i.e., flags it as "not trained".

See Also:

isTrained()

trainFilter

void trainFilter(T[] data)

Trains the filter with the specified data.

isTrained

boolean isTrained()

Returns whether the filter has been trained already and is ready to use.

Returns:

true if already trained