Crate ternary_trees 

Decision trees and forests for ternary classification on {-1, 0, +1}.

Provides TernaryDecisionTree with ternary splits, RandomForest with ternary voting, feature importance, and pruning with ternary entropy.

Structs

RandomForest

Random forest for ternary classification.

TernaryDecisionTree

Ternary decision tree.

Enums

Ternary

A ternary value.

TreeNode

A decision tree node.

Functions

count_labels

Count ternary labels in a slice.

gini_impurity

Compute Gini impurity for ternary labels.

information_gain

Compute information gain for a split.

majority

Majority vote label.

ternary_entropy

Compute ternary entropy.

Type Aliases

Feature

Feature value type for ternary features.

Sample

A training sample: features + label.