Enum TreeNode 

pub enum TreeNode<F: Float> {
    Split {
        feature_index: usize,
        threshold: F,
        left: Box<TreeNode<F>>,
        right: Box<TreeNode<F>>,
        n_samples: usize,
        impurity: F,
    },
    Leaf {
        value: F,
        n_samples: usize,
        class_counts: Option<Vec<(F, usize)>>,
    },
}

A node in a decision tree.

Variants

Split

Internal node: split on a feature at a threshold.

Fields

feature_index: usize

threshold: F

left: Box<TreeNode<F>>

right: Box<TreeNode<F>>

n_samples: usize

Number of training samples that reached this node.

impurity: F

Impurity at this node before splitting.

Leaf

Leaf node: predict a value.

Fields

value: F

n_samples: usize

Number of training samples in this leaf.

class_counts: Option<Vec<(F, usize)>>

For classifiers: class distribution counts.

Implementations

impl<F: Float> TreeNode<F>

pub fn predict_one(&self, features: &[F]) -> F

Predict a single sample by traversing the tree.

pub fn feature_importances( &self, n_features: usize, total_samples: usize, ) -> Vec<F>

Compute feature importances by accumulating weighted impurity decreases.

Trait Implementations

impl<F: Clone + Float> Clone for TreeNode<F>

fn clone(&self) -> TreeNode<F>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<F: Debug + Float> Debug for TreeNode<F>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de, F> Deserialize<'de> for TreeNode<F>

where F: DeserializeOwned + Float,

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<F> Serialize for TreeNode<F>

where F: Serialize + Float,

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.