| Package | Description |
|---|---|
| org.tribuo.classification.dtree |
Provides implementations of decision trees for classification problems.
|
| 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.
|
| Modifier and Type | Class and Description |
|---|---|
class |
CARTClassificationTrainer
A
Trainer that uses an approximation of the CART algorithm to build a decision tree. |
| Modifier and Type | Class and 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. |
| Constructor and Description |
|---|
ExtraTreesTrainer(DecisionTreeTrainer<T> trainer,
EnsembleCombiner<T> combiner,
int numMembers)
Constructs an ExtraTreesTrainer with the default seed
Trainer.DEFAULT_SEED. |
ExtraTreesTrainer(DecisionTreeTrainer<T> trainer,
EnsembleCombiner<T> combiner,
int numMembers,
long seed)
Constructs an ExtraTreesTrainer with the supplied seed, trainer, combining function and number of members.
|
RandomForestTrainer(DecisionTreeTrainer<T> trainer,
EnsembleCombiner<T> combiner,
int numMembers)
Constructs a RandomForestTrainer with the default seed
Trainer.DEFAULT_SEED. |
RandomForestTrainer(DecisionTreeTrainer<T> trainer,
EnsembleCombiner<T> combiner,
int numMembers,
long seed)
Constructs a RandomForestTrainer with the supplied seed, trainer, combining function and number of members.
|
| Modifier and Type | Class and Description |
|---|---|
class |
CARTJointRegressionTrainer
A
Trainer that uses an approximation of the CART algorithm to build a decision tree. |
class |
CARTRegressionTrainer
A
Trainer that uses an approximation of the CART algorithm to build a decision tree. |
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