Uses of Package
org.tribuo.common.tree
Package
Description
Provides implementations of decision trees for classification problems.
Provides internal implementation classes for classification decision trees.
Provides common functionality for building decision trees, irrespective
of the predicted
Output
.Provides an implementation of decision trees for regression problems.
Provides internal implementation classes for the regression trees.
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ClassDescriptionBase class for
Trainer
's that use an approximation of the CART algorithm to build a decision tree.Base class for decision tree nodes used at training time.Contains parameters needed to determine whether a node is a leaf.A tag interface for aTrainer
so the random forests trainer can check if it's actually a tree. -
ClassDescriptionBase class for decision tree nodes used at training time.Contains parameters needed to determine whether a node is a leaf.A node in a decision tree.
-
ClassDescriptionBase class for
Trainer
's that use an approximation of the CART algorithm to build a decision tree.Base class for decision tree nodes used at training time.Contains parameters needed to determine whether a node is a leaf.A tag interface for aTrainer
so the random forests trainer can check if it's actually a tree.An immutable leafNode
that can create a prediction.A node in a decision tree.An immutableNode
with a split and two child nodes. -
ClassDescriptionBase class for
Trainer
's that use an approximation of the CART algorithm to build a decision tree.Base class for decision tree nodes used at training time.Contains parameters needed to determine whether a node is a leaf.A tag interface for aTrainer
so the random forests trainer can check if it's actually a tree.A node in a decision tree. -
ClassDescriptionBase class for decision tree nodes used at training time.Contains parameters needed to determine whether a node is a leaf.A node in a decision tree.