Uses of Interface
org.tribuo.math.util.VectorNormalizer

Packages that use VectorNormalizer

Package	Description
org.tribuo.classification.sgd	Provides infrastructure for Stochastic Gradient Descent for classification problems.
org.tribuo.classification.sgd.objectives	Provides classification loss functions for Stochastic Gradient Descent.
org.tribuo.math.la	Provides a linear algebra system used for numerical operations in Tribuo.
org.tribuo.math.util	Provides math related util classes.
org.tribuo.multilabel.sgd	Provides infrastructure for Stochastic Gradient Descent for multi-label classification problems.
org.tribuo.multilabel.sgd.objectives	Provides multi-label classification loss functions for Stochastic Gradient Descent.

Uses of VectorNormalizer in org.tribuo.classification.sgd

Methods in org.tribuo.classification.sgd that return VectorNormalizer

Modifier and Type	Method	Description
VectorNormalizer	LabelObjective.getNormalizer()	Generates a new VectorNormalizer which normalizes the predictions into [0,1].

Uses of VectorNormalizer in org.tribuo.classification.sgd.objectives

Methods in org.tribuo.classification.sgd.objectives that return VectorNormalizer

Modifier and Type	Method	Description
VectorNormalizer	Hinge.getNormalizer()	Returns a new NoopNormalizer.
VectorNormalizer	LogMulticlass.getNormalizer()

Uses of VectorNormalizer in org.tribuo.math.la

Methods in org.tribuo.math.la with parameters of type VectorNormalizer

Modifier and Type	Method	Description
void	DenseVector.normalize(VectorNormalizer normalizer)
void	SGDVector.normalize(VectorNormalizer normalizer)	Normalizes the vector using the supplied vector normalizer.
void	SparseVector.normalize(VectorNormalizer normalizer)
void	DenseMatrix.normalizeRows(VectorNormalizer normalizer)	Normalizes each row using the supplied normalizer in place.

Uses of VectorNormalizer in org.tribuo.math.util

Classes in org.tribuo.math.util that implement VectorNormalizer

Modifier and Type	Class	Description
class	ExpNormalizer	Normalizes the exponential values of the input array.
class	NoopNormalizer	NoopNormalizer returns a copy in NoopNormalizer.normalize(double[]) and is a no-op in place.
class	Normalizer	Normalizes, but first subtracts the minimum value (to ensure positivity).
class	SigmoidNormalizer	Normalizes the input by applying a logistic sigmoid to each element.

Methods in org.tribuo.math.util that return VectorNormalizer

Modifier and Type	Method	Description
static VectorNormalizer	VectorNormalizer.deserialize(org.tribuo.math.protos.NormalizerProto proto)	Deserializes the vector normalizer from the supplied protobuf.

Uses of VectorNormalizer in org.tribuo.multilabel.sgd

Methods in org.tribuo.multilabel.sgd that return VectorNormalizer

Modifier and Type	Method	Description
VectorNormalizer	MultiLabelObjective.getNormalizer()	Generates a new VectorNormalizer which normalizes the predictions into a suitable format.

Uses of VectorNormalizer in org.tribuo.multilabel.sgd.objectives

Methods in org.tribuo.multilabel.sgd.objectives that return VectorNormalizer

Modifier and Type	Method	Description
VectorNormalizer	BinaryCrossEntropy.getNormalizer()
VectorNormalizer	Hinge.getNormalizer()	Returns a new NoopNormalizer.