Struct FittedBaggingClassifier 

pub struct FittedBaggingClassifier<F: Float> { /* private fields */ }

Fitted bagging classifier.

Implementations

impl<F: Float> FittedBaggingClassifier<F>

pub fn feature_importances(&self) -> Array1<F>

Feature importances averaged across all trees and normalized to sum to 1.

pub fn n_estimators(&self) -> usize

Number of trees in the ensemble.

pub fn predict_proba(&self, x: &Array2<F>) -> Result<Array2<F>>

Predict class probabilities for each sample.

Returns an Array2<F> of shape (n_samples, n_classes) where each row sums to 1.0. Probabilities are averaged across all trees in the ensemble.

pub fn score(&self, x: &Array2<F>, y: &Array1<F>) -> Result<f64>

Compute classification accuracy on the given data.

pub fn classes(&self) -> Vec<F>

Returns the unique sorted class labels across all trees.

Trait Implementations

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

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

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

Formats the value using the given formatter.

impl<'de, F> Deserialize<'de> for FittedBaggingClassifier<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: Float> Predict<F> for FittedBaggingClassifier<F>

fn predict(&self, x: &Array2<F>) -> Result<Array1<F>>

impl<F: Float> PredictProba<F> for FittedBaggingClassifier<F>

fn predict_proba(&self, x: &Array2<F>) -> Result<Array2<F>>

impl<F> Serialize for FittedBaggingClassifier<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.