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.
|
Class and Description |
---|
AbstractCARTTrainer
Base class for
Trainer 's that use an approximation of the CART algorithm to build a decision tree. |
AbstractTrainingNode
Base class for decision tree nodes used at training time.
|
AbstractTrainingNode.LeafDeterminer
Contains parameters needed to determine whether a node is a leaf.
|
DecisionTreeTrainer
A tag interface for a
Trainer so the random forests trainer can check if it's actually a tree. |
Class and Description |
---|
AbstractTrainingNode
Base class for decision tree nodes used at training time.
|
AbstractTrainingNode.LeafDeterminer
Contains parameters needed to determine whether a node is a leaf.
|
Node
A node in a decision tree.
|
Class and Description |
---|
AbstractCARTTrainer
Base class for
Trainer 's that use an approximation of the CART algorithm to build a decision tree. |
AbstractTrainingNode
Base class for decision tree nodes used at training time.
|
AbstractTrainingNode.LeafDeterminer
Contains parameters needed to determine whether a node is a leaf.
|
DecisionTreeTrainer
A tag interface for a
Trainer so the random forests trainer can check if it's actually a tree. |
LeafNode
An immutable leaf
Node that can create a prediction. |
Node
A node in a decision tree.
|
SplitNode
An immutable
Node with a split and two child nodes. |
TreeModel |
Class and Description |
---|
AbstractCARTTrainer
Base class for
Trainer 's that use an approximation of the CART algorithm to build a decision tree. |
AbstractTrainingNode
Base class for decision tree nodes used at training time.
|
AbstractTrainingNode.LeafDeterminer
Contains parameters needed to determine whether a node is a leaf.
|
DecisionTreeTrainer
A tag interface for a
Trainer so the random forests trainer can check if it's actually a tree. |
TreeModel |
Class and Description |
---|
AbstractTrainingNode
Base class for decision tree nodes used at training time.
|
AbstractTrainingNode.LeafDeterminer
Contains parameters needed to determine whether a node is a leaf.
|
Node
A node in a decision tree.
|
Copyright © 2015–2021 Oracle and/or its affiliates. All rights reserved.