Uses of Interface
org.tribuo.transform.Transformation

Packages that use Transformation

Package	Description
org.tribuo.transform	Provides infrastructure for applying transformations to a Dataset.
org.tribuo.transform.transformations	Provides implementations of standard transformations like binning, scaling, taking logs and exponents.

Uses of Transformation in org.tribuo.transform

Fields in org.tribuo.transform with type parameters of type Transformation

Modifier and Type	Field	Description
List<Transformation>	TransformationMap.TransformationList.list	The list of transformations.

Methods in org.tribuo.transform that return types with arguments of type Transformation

Modifier and Type	Method	Description
Map<String, List<Transformation>>	TransformationMap.getFeatureTransformations()	Gets the map of feature specific transformations.
List<Transformation>	TransformationMap.getGlobalTransformations()	Gets the global transformations in this TransformationMap.

Constructor parameters in org.tribuo.transform with type arguments of type Transformation

Modifier	Constructor	Description
	TransformationList(List<Transformation> list)	Constructs a transformation list.
	TransformationMap(List<Transformation> globalTransformations)	Creates a TransformationMap with only global transformations.
	TransformationMap(List<Transformation> globalTransformations, Map<String, List<Transformation>> featureTransformations)	Creates a transformation map from the supplied global transformation list, and per feature transformations.
	TransformationMap(List<Transformation> globalTransformations, Map<String, List<Transformation>> featureTransformations)	Creates a transformation map from the supplied global transformation list, and per feature transformations.
	TransformationMap(Map<String, List<Transformation>> featureTransformations)	Creates a TransformationMap with only per feature transformations.

Uses of Transformation in org.tribuo.transform.transformations

Classes in org.tribuo.transform.transformations that implement Transformation

Modifier and Type	Class	Description
final class	BinningTransformation	A Transformation which bins values.
class	IDFTransformation	A feature transformation that computes the IDF for features and then transforms them with a TF-IDF weighting.
final class	LinearScalingTransformation	A Transformation which takes an observed distribution and rescales it so all values are between the desired min and max.
final class	MeanStdDevTransformation	A Transformation which takes an observed distribution and rescales it so it has the desired mean and standard deviation.
final class	SimpleTransform	This is used for stateless functions such as exp, log, addition or multiplication by a constant.