Module decision_tree 

Decision Tree implementation

This module provides comprehensive Decision Tree Classifier and Regressor implementations using advanced CART algorithms, complying with SciRS2 Policy.

Re-exports

pub use crate::config::DecisionTreeConfig;

pub use crate::criteria::ConditionalTestType;

pub use crate::criteria::FeatureType;

pub use crate::criteria::MonotonicConstraint;

pub use crate::criteria::SplitCriterion;

pub use crate::node::CompactTreeNode;

pub use crate::node::CustomSplit;

pub use crate::node::SurrogateSplit;

pub use crate::node::TreeNode;

pub use crate::splits::ChaidSplit;

pub use crate::splits::HyperplaneSplit;

Structs

DecisionTree

Main Decision Tree structure that can be used for both classification and regression

DecisionTreeBuilder

Builder pattern for configuring DecisionTree

TreeValidator

Validation functions for decision trees

Type Aliases

DecisionTreeClassifier

Type alias for Decision Tree Classifier (untrained)

DecisionTreeRegressor

Type alias for Decision Tree Regressor (untrained)