Uses of Class
org.tribuo.regression.Regressor.DimensionTuple

Packages that use Regressor.DimensionTuple

Package	Description
org.tribuo.regression	Provides classes and infrastructure for regression problems with single or multiple output dimensions.
org.tribuo.regression.impl	Provides skeletal implementations of Regressor Trainer that can wrap a single dimension trainer/model and produce one prediction per dimension independently.
org.tribuo.regression.slm	Provides implementations of sparse linear regression using various forms of regularisation penalty.

Uses of Regressor.DimensionTuple in org.tribuo.regression

Methods in org.tribuo.regression that return Regressor.DimensionTuple

Modifier and Type	Method	Description
Regressor.DimensionTuple	Regressor.DimensionTuple.copy()
static Regressor.DimensionTuple	Regressor.DimensionTuple.deserializeFromProto(int version, String className, com.google.protobuf.Any message)	Deserialization factory.
Regressor.DimensionTuple	Regressor.getDimension(int idx)	Returns a dimension tuple for the requested dimension index.

Methods in org.tribuo.regression that return types with arguments of type Regressor.DimensionTuple

Modifier and Type	Method	Description
Optional<Regressor.DimensionTuple>	Regressor.DimensionTuple.getDimension(String name)
Optional<Regressor.DimensionTuple>	Regressor.getDimension(String name)	Returns a dimension tuple for the requested dimension, or optional empty if it's not valid.
Iterator<Regressor.DimensionTuple>	Regressor.DimensionTuple.iterator()
Iterator<Regressor.DimensionTuple>	Regressor.iterator()

Constructors in org.tribuo.regression with parameters of type Regressor.DimensionTuple

Modifier	Constructor	Description
	Regressor(Regressor.DimensionTuple[] dimensions)	Constructs a regressor from the supplied dimension tuples.

Uses of Regressor.DimensionTuple in org.tribuo.regression.impl

Methods in org.tribuo.regression.impl that return Regressor.DimensionTuple

Modifier and Type	Method	Description
protected abstract Regressor.DimensionTuple	SkeletalIndependentRegressionModel.scoreDimension(int dimensionIdx, SparseVector features)	Makes a prediction for a single dimension.
protected abstract Regressor.DimensionTuple	SkeletalIndependentRegressionSparseModel.scoreDimension(int dimensionIdx, SparseVector features)	Makes a prediction for a single dimension.

Uses of Regressor.DimensionTuple in org.tribuo.regression.slm

Methods in org.tribuo.regression.slm that return Regressor.DimensionTuple

Modifier and Type	Method	Description
protected Regressor.DimensionTuple	SparseLinearModel.scoreDimension(int dimensionIdx, SparseVector features)