Uses of Class
adams.flow.control.removeoutliers.AbstractOutlierDetector

Packages that use AbstractOutlierDetector

Package	Description
adams.flow.control
adams.flow.control.removeoutliers
weka.filters.supervised.instance

Uses of AbstractOutlierDetector in adams.flow.control

Fields in adams.flow.control declared as AbstractOutlierDetector

Modifier and Type	Field	Description
protected AbstractOutlierDetector	RemoveOutliers.m_Detector	the detector to use for the initial outlier detection.

Methods in adams.flow.control that return AbstractOutlierDetector

Modifier and Type	Method	Description
AbstractOutlierDetector	RemoveOutliers.getDetector()	Returns the detector to use.

Methods in adams.flow.control with parameters of type AbstractOutlierDetector

Modifier and Type	Method	Description
void	RemoveOutliers.setDetector(AbstractOutlierDetector value)	Sets the detector to use.

Uses of AbstractOutlierDetector in adams.flow.control.removeoutliers

Subclasses of AbstractOutlierDetector in adams.flow.control.removeoutliers

Modifier and Type	Class	Description
class	AbstractNumericOutlierDetector	Ancestor for numeric outlier detection.
class	IQR	Interquartile range based detector. If difference between actual/predicted is more than the factor of standard deviations away from the quartial 0.25/0.75, then the point gets flagged as outlier.
class	MeanAbsoluteError	Mean absolute error (MAE) based detector. If difference between actual/predicted is more than MAE * FACTOR, then the point gets flagged as outlier.
class	MultiOutlierDetector	Applies the specified outlier detectors sequentially and combines the detected outliers either via union or intersect.
class	Null	Dummy outlier detector, detects no outliers at all.
class	StdDev	Standard deviation based detector. If difference between actual/predicted is more than the factor of standard deviations away from the mean, then the point gets flagged as outlier.

Fields in adams.flow.control.removeoutliers declared as AbstractOutlierDetector

Modifier and Type	Field	Description
protected AbstractOutlierDetector[]	MultiOutlierDetector.m_Detectors	outlier detectors to apply.

Methods in adams.flow.control.removeoutliers that return AbstractOutlierDetector

Modifier and Type	Method	Description
AbstractOutlierDetector[]	MultiOutlierDetector.getDetectors()	Returns the detectors to use.

Methods in adams.flow.control.removeoutliers with parameters of type AbstractOutlierDetector

Modifier and Type	Method	Description
void	MultiOutlierDetector.setDetectors(AbstractOutlierDetector[] value)	Sets the detectors to use.

Uses of AbstractOutlierDetector in weka.filters.supervised.instance

Fields in weka.filters.supervised.instance declared as AbstractOutlierDetector

Modifier and Type	Field	Description
protected AbstractOutlierDetector	RemoveOutliers.m_Detector	the outlier detector to use.

Methods in weka.filters.supervised.instance that return AbstractOutlierDetector

Modifier and Type	Method	Description
protected AbstractOutlierDetector	RemoveOutliers.getDefaultDetector()	Returns the default detector.
AbstractOutlierDetector	RemoveOutliers.getDetector()	Returns the detector.

Methods in weka.filters.supervised.instance with parameters of type AbstractOutlierDetector

Modifier and Type	Method	Description
void	RemoveOutliers.setDetector(AbstractOutlierDetector value)	Sets the detector.