Uses of Class
org.tribuo.regression.impl.SkeletalIndependentRegressionSparseModel

Packages that use SkeletalIndependentRegressionSparseModel

Package	Description
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 SkeletalIndependentRegressionSparseModel in org.tribuo.regression.impl

Methods in org.tribuo.regression.impl that return SkeletalIndependentRegressionSparseModel

Modifier and Type	Method	Description
protected abstract SkeletalIndependentRegressionSparseModel	SkeletalIndependentRegressionSparseTrainer.createModel(Map<String,T> models, ModelProvenance provenance, ImmutableFeatureMap featureMap, ImmutableOutputInfo<Regressor> outputInfo)	Constructs the appropriate subclass of SkeletalIndependentRegressionModel for this trainer.
SkeletalIndependentRegressionSparseModel	SkeletalIndependentRegressionSparseTrainer.train(Dataset<Regressor> examples)
SkeletalIndependentRegressionSparseModel	SkeletalIndependentRegressionSparseTrainer.train(Dataset<Regressor> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
SkeletalIndependentRegressionSparseModel	SkeletalIndependentRegressionSparseTrainer.train(Dataset<Regressor> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)

Uses of SkeletalIndependentRegressionSparseModel in org.tribuo.regression.slm

Subclasses of SkeletalIndependentRegressionSparseModel in org.tribuo.regression.slm

Modifier and Type	Class	Description
class	SparseLinearModel	The inference time version of a sparse linear regression model.