TrainableOutlierDetector (adams-pom 24.4.0-SNAPSHOT API)

Type Parameters:

T - the type of data

All Superinterfaces:

CleanUpHandler, Comparable, Destroyable, OptionHandler, OutlierDetector<T>, ShallowCopySupporter<OutlierDetector>
```
public interface TrainableOutlierDetector<T extends DataContainer>
extends OutlierDetector<T>
```
Interface for trainable outlier detectors.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`boolean`	`isTrained()`	Returns whether the detector has been trained already and is ready to use.
`void`	`resetDetector()`	Resets the detector, i.e., flags it as "not trained".
`void`	`trainDetector(T[] data)`	Trains the detector with the specified data.

Methods inherited from interface adams.core.CleanUpHandler
cleanUp

Methods inherited from interface java.lang.Comparable
compareTo

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.outlier.OutlierDetector
detect, shallowCopy, shallowCopy

- Method Detail
  - resetDetector
```
void resetDetector()
```
    Resets the detector, i.e., flags it as "not trained".
    
    See Also:
    
    isTrained()
  - trainDetector
```
void trainDetector(T[] data)
```
    Trains the detector with the specified data.
  - isTrained
```
boolean isTrained()
```
    Returns whether the detector has been trained already and is ready to use.
    
    Returns:
    
    true if already trained