Package org.lenskit.transform.normalize

Interfaces and classes for data normalization.

See: Description

Interface Summary

Interface	Description
ItemVectorNormalizer	Normalizes an item’s vector.
UserVectorNormalizer	Normalize a user’s vector.
VectorNormalizer	Normalize vectors by applying a reversible transformation with respect to a reference vector.
VectorTransformation	Reversible in-place vector transformations.

Class Summary

Class	Description
AbstractItemVectorNormalizer	Abstract item vector normalizer implementation.
AbstractUserVectorNormalizer	Abstract user vector normalizer implementation.
AbstractVectorNormalizer	Abstract vector normalizer implementation.
BaselineSubtractingUserVectorNormalizer	User vector normalizer that subtracts a user’s baseline scores.
BiasItemVectorNormalizer	Item vector normalizer that subtracts user-item biases.
BiasUserVectorNormalizer	User vector normalizer that subtracts user-item biases.
DefaultItemVectorNormalizer	Default item vector normalizer that delegates to a generic VectorNormalizer.
DefaultUserVectorNormalizer	Default user vector normalizer that delegates to a generic VectorNormalizer.
IdentityVectorNormalizer	Identity normalization (makes no change).
MeanCenteringVectorNormalizer	Vector normlizer that subtracts the mean from every value.
MeanVarianceNormalizer
MeanVarianceNormalizer.Builder	A Builder for UserVarianceNormalizers that computes the variance from a RatingBuildContext.
UnitVectorNormalizer	Vector normalizer that scales a vector by the factor needed to scale the reference vector to a unit vector.

Package org.lenskit.transform.normalize Description

Interfaces and classes for data normalization. Normalization is typically done prior to training a recommender.