Uses of Class
org.tribuo.SparseModel

Packages that use SparseModel

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.classification.explanations.lime	Provides an implementation of LIME (Locally Interpretable Model Explanations).
org.tribuo.common.tree	Provides common functionality for building decision trees, irrespective of the predicted Output.
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.rtree	Provides an implementation of decision trees for regression problems.
org.tribuo.regression.slm	Provides implementations of sparse linear regression using various forms of regularisation penalty.

Uses of SparseModel in org.tribuo

Methods in org.tribuo that return SparseModel

Modifier and Type	Method	Description
SparseModel<T>	SparseModel.copy()
default SparseModel<T>	SparseTrainer.train(Dataset<T> examples)	Trains a sparse predictive model using the examples in the given data set.
SparseModel<T>	SparseTrainer.train(Dataset<T> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)	Trains a sparse predictive model using the examples in the given data set.
default SparseModel<T>	SparseTrainer.train(Dataset<T> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)	Trains a predictive model using the examples in the given data set.

Uses of SparseModel in org.tribuo.classification.explanations.lime

Methods in org.tribuo.classification.explanations.lime that return SparseModel

Modifier and Type	Method	Description
SparseModel<Regressor>	LIMEExplanation.getModel()
protected SparseModel<Regressor>	LIMEBase.trainExplainer(Example<Regressor> target, List<Example<Regressor>> samples)	Trains the explanation model using the supplied sampled data and the input example.

Constructors in org.tribuo.classification.explanations.lime with parameters of type SparseModel

Modifier	Constructor	Description
	LIMEExplanation(SparseModel<Regressor> model, Prediction<Label> prediction, RegressionEvaluation evaluation)	Constructs a LIME explanation.

Uses of SparseModel in org.tribuo.common.tree

Subclasses of SparseModel in org.tribuo.common.tree

Modifier and Type	Class	Description
class	TreeModel<T extends Output<T>>	A Model wrapped around a decision tree root Node.

Uses of SparseModel in org.tribuo.regression.impl

Subclasses of SparseModel in org.tribuo.regression.impl

Modifier and Type	Class	Description
class	SkeletalIndependentRegressionSparseModel	A SparseModel which wraps n independent regression models, where n is the size of the MultipleRegressor domain.

Uses of SparseModel in org.tribuo.regression.rtree

Subclasses of SparseModel in org.tribuo.regression.rtree

Modifier and Type	Class	Description
final class	IndependentRegressionTreeModel	A Model wrapped around a list of decision tree root Nodes used to generate independent predictions for each dimension in a regression.

Uses of SparseModel in org.tribuo.regression.slm

Subclasses of SparseModel in org.tribuo.regression.slm

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

Methods in org.tribuo.regression.slm that return SparseModel

Modifier and Type	Method	Description
SparseModel<Regressor>	ElasticNetCDTrainer.train(Dataset<Regressor> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
SparseModel<Regressor>	ElasticNetCDTrainer.train(Dataset<Regressor> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)