Uses of Interface
org.tribuo.SparseTrainer

Packages that use SparseTrainer

Package	Description
org.tribuo.classification.dtree	Provides implementations of decision trees for classification problems.
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 SparseTrainer in org.tribuo.classification.dtree

Classes in org.tribuo.classification.dtree that implement SparseTrainer

Modifier and Type	Class	Description
class	CARTClassificationTrainer	A Trainer that uses an approximation of the CART algorithm to build a decision tree.

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

Fields in org.tribuo.classification.explanations.lime declared as SparseTrainer

Modifier and Type	Field	Description
protected final SparseTrainer<Regressor>	LIMEBase.explanationTrainer

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

Modifier	Constructor	Description
	LIMEBase(SplittableRandom rng, Model<Label> innerModel, SparseTrainer<Regressor> explanationTrainer, int numSamples)	Constructs a LIME explainer for a model which uses tabular data (i.e., no special treatment for text features).
	LIMEColumnar(SplittableRandom rng, Model<Label> innerModel, SparseTrainer<Regressor> explanationTrainer, int numSamples, RowProcessor<Label> exampleGenerator, Tokenizer tokenizer)	Constructs a LIME explainer for a model which uses the columnar data processing system.
	LIMEText(SplittableRandom rng, Model<Label> innerModel, SparseTrainer<Regressor> explanationTrainer, int numSamples, TextFeatureExtractor<Label> extractor, Tokenizer tokenizer)	Constructs a LIME explainer for a model which uses text data.

Uses of SparseTrainer in org.tribuo.common.tree

Subinterfaces of SparseTrainer in org.tribuo.common.tree

Modifier and Type	Interface	Description
interface	DecisionTreeTrainer<T extends Output<T>>	A tag interface for a Trainer so the random forests trainer can check if it's actually a tree.

Classes in org.tribuo.common.tree that implement SparseTrainer

Modifier and Type	Class	Description
class	AbstractCARTTrainer<T extends Output<T>>	Base class for Trainer's that use an approximation of the CART algorithm to build a decision tree.

Uses of SparseTrainer in org.tribuo.regression.impl

Classes in org.tribuo.regression.impl that implement SparseTrainer

Modifier and Type	Class	Description
class	SkeletalIndependentRegressionSparseTrainer<T>	Base class for training n independent sparse models, one per dimension.

Uses of SparseTrainer in org.tribuo.regression.rtree

Classes in org.tribuo.regression.rtree that implement SparseTrainer

Modifier and Type	Class	Description
class	CARTJointRegressionTrainer	A Trainer that uses an approximation of the CART algorithm to build a decision tree.
final class	CARTRegressionTrainer	A Trainer that uses an approximation of the CART algorithm to build a decision tree.

Uses of SparseTrainer in org.tribuo.regression.slm

Classes in org.tribuo.regression.slm that implement SparseTrainer

Modifier and Type	Class	Description
class	ElasticNetCDTrainer	An ElasticNet trainer that uses co-ordinate descent.
class	LARSLassoTrainer	A trainer for a lasso linear regression model which uses LARS to construct the model.
class	LARSTrainer	A trainer for a linear regression model which uses least angle regression.
class	SLMTrainer	A trainer for a sparse linear regression model.