Struct RandomForest 

pub struct RandomForest {
    pub trees: Vec<TernaryDecisionTree>,
    pub n_features_per_split: usize,
}

Random forest for ternary classification.

Fields

trees: Vec<TernaryDecisionTree>

n_features_per_split: usize

Implementations

impl RandomForest

pub fn new( n_trees: usize, max_depth: usize, min_samples: usize, n_features_per_split: usize, ) -> Self

pub fn fit(&mut self, samples: &[Sample])

pub fn predict(&self, features: &[Feature]) -> Ternary

pub fn feature_importance( &self, samples: &[Sample], n_features: usize, ) -> Vec<f64>

Compute feature importance via permutation.

pub fn accuracy(&self, samples: &[Sample]) -> f64

Trait Implementations

impl Clone for RandomForest

fn clone(&self) -> RandomForest

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RandomForest

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

Formats the value using the given formatter.