Struct TrainedGradientBoostingRegressor 

pub struct TrainedGradientBoostingRegressor { /* private fields */ }

Trained Gradient Boosting Regressor

Implementations

impl TrainedGradientBoostingRegressor

pub fn feature_importances_gain(&self) -> &Array1<Float>

pub fn feature_importances_frequency(&self) -> &Array1<Float>

pub fn feature_importances_cover(&self) -> &Array1<Float>

Trait Implementations

impl Clone for TrainedGradientBoostingRegressor

fn clone(&self) -> TrainedGradientBoostingRegressor

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TrainedGradientBoostingRegressor

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

Formats the value using the given formatter.

impl Predict<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for TrainedGradientBoostingRegressor

fn predict(&self, X: &Array2<Float>) -> Result<Array1<Float>>

Make predictions on the provided data

fn predict_with_uncertainty( &self, x: &X, ) -> Result<(Output, UncertaintyMeasure), SklearsError>

Make predictions with confidence intervals