Package | Description |
---|---|
org.tribuo.classification.dtree |
Provides implementations of decision trees for classification problems.
|
org.tribuo.classification.dtree.impl |
Provides internal implementation classes for classification decision trees.
|
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.
|
org.tribuo.regression.rtree.impl |
Provides internal implementation classes for the regression trees.
|
Modifier and Type | Method and Description |
---|---|
protected AbstractTrainingNode<Label> |
CARTClassificationTrainer.mkTrainingNode(Dataset<Label> examples) |
Modifier and Type | Class and Description |
---|---|
class |
ClassifierTrainingNode
A decision tree node used at training time.
|
Modifier and Type | Method and Description |
---|---|
List<AbstractTrainingNode<Label>> |
ClassifierTrainingNode.buildTree(int[] featureIDs)
Builds a tree according to CART (as it does not do multi-way splits on categorical values like C4.5).
|
Modifier and Type | Field and Description |
---|---|
protected AbstractTrainingNode<T> |
AbstractTrainingNode.greaterThan |
protected AbstractTrainingNode<T> |
AbstractTrainingNode.lessThanOrEqual |
Modifier and Type | Method and Description |
---|---|
protected abstract AbstractTrainingNode<T> |
AbstractCARTTrainer.mkTrainingNode(Dataset<T> examples) |
Modifier and Type | Method and Description |
---|---|
abstract List<AbstractTrainingNode<T>> |
AbstractTrainingNode.buildTree(int[] indices) |
Modifier and Type | Method and Description |
---|---|
protected AbstractTrainingNode<Regressor> |
CARTRegressionTrainer.mkTrainingNode(Dataset<Regressor> examples) |
protected AbstractTrainingNode<Regressor> |
CARTJointRegressionTrainer.mkTrainingNode(Dataset<Regressor> examples) |
Modifier and Type | Class and Description |
---|---|
class |
JointRegressorTrainingNode
A decision tree node used at training time.
|
class |
RegressorTrainingNode
A decision tree node used at training time.
|
Modifier and Type | Method and Description |
---|---|
List<AbstractTrainingNode<Regressor>> |
RegressorTrainingNode.buildTree(int[] featureIDs)
Builds a tree according to CART (as it does not do multi-way splits on categorical values like C4.5).
|
List<AbstractTrainingNode<Regressor>> |
JointRegressorTrainingNode.buildTree(int[] featureIDs)
Builds a tree according to CART (as it does not do multi-way splits on categorical values like C4.5).
|
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