Uses of Class
org.tribuo.common.tree.TreeModel

Packages that use TreeModel

Package	Description
org.tribuo.common.tree	Provides common functionality for building decision trees, irrespective of the predicted Output.
org.tribuo.regression.rtree	Provides an implementation of decision trees for regression problems.

Uses of TreeModel in org.tribuo.common.tree

Methods in org.tribuo.common.tree that return TreeModel

Modifier and Type	Method	Description
protected TreeModel<T>	TreeModel.copy(String newName, ModelProvenance newProvenance)
static TreeModel<?>	TreeModel.deserializeFromProto(int version, String className, com.google.protobuf.Any message)	Deserialization factory.
TreeModel<T>	AbstractCARTTrainer.train(Dataset<T> examples)
TreeModel<T>	AbstractCARTTrainer.train(Dataset<T> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
TreeModel<T>	AbstractCARTTrainer.train(Dataset<T> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)

Uses of TreeModel in org.tribuo.regression.rtree

Subclasses of TreeModel 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.

Methods in org.tribuo.regression.rtree that return TreeModel

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