Struct rustlearn::ensemble::random_forest::RandomForest

pub struct RandomForest {
    // some fields omitted
}

Methods

impl RandomForest

fn trees(&self) -> &Vec<DecisionTree>

Return a reference to the consituent trees vector.

Trait Implementations

impl Clone for RandomForest

fn clone(&self) -> RandomForest

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Decodable for RandomForest

fn decode<__D: Decoder>(__arg_0: &mut __D) -> Result<RandomForest, __D::Error>

impl Encodable for RandomForest

fn encode<__S: Encoder>(&self, __arg_0: &mut __S) -> Result<(), __S::Error>

impl<'a> SupervisedModel<&'a Array> for RandomForest

fn fit(&mut self, X: &Array, y: &Array) -> Result<(), &'static str>

fn decision_function(&self, X: &Array) -> Result<Array, &'static str>

fn predict(&self, x: T) -> Result<Array, &'static str>

impl<'a> SupervisedModel<&'a SparseRowArray> for RandomForest

fn fit(&mut self, X: &SparseRowArray, y: &Array) -> Result<(), &'static str>

fn decision_function(&self, X: &SparseRowArray) -> Result<Array, &'static str>

fn predict(&self, x: T) -> Result<Array, &'static str>