Uses of Class
edu.illinois.cs.cogcomp.lbjava.learn.Normalizer

Packages that use Normalizer

Package	Description
edu.illinois.cs.cogcomp.lbjava.infer
edu.illinois.cs.cogcomp.lbjava.learn

Uses of Normalizer in edu.illinois.cs.cogcomp.lbjava.infer

Methods in edu.illinois.cs.cogcomp.lbjava.infer that return Normalizer

Modifier and Type	Method and Description
Normalizer	Inference.getNormalizer(Learner c) Returns the normalization function associated with the given classifier in this inference.

Uses of Normalizer in edu.illinois.cs.cogcomp.lbjava.learn

Subclasses of Normalizer in edu.illinois.cs.cogcomp.lbjava.learn

Modifier and Type	Class and Description
class	IdentityNormalizer This Normalizer simply returns the same ScoreSet it was passed as input without modifying anything.
class	Log Simply turns each score s in the ScoreSet returned by the specified Normalizer into log(s).
class	Sigmoid The sigmoid normalization function replaces each score xi with 1 / (1 + exp(-alpha xi)), where alpha is a user-specified constant.
class	Softmax The softmax normalization function replaces each score with the fraction of its exponential out of the sum of all scores' exponentials.

Fields in edu.illinois.cs.cogcomp.lbjava.learn declared as Normalizer

Modifier and Type	Field and Description
protected Normalizer	Log.first This normalizer runs before applying the log function.

Constructors in edu.illinois.cs.cogcomp.lbjava.learn with parameters of type Normalizer

Constructor and Description
Log(Normalizer n) Initializing constructor.