Struct FittedHistGradientBoostingRegressor 

pub struct FittedHistGradientBoostingRegressor<F> { /* private fields */ }

A fitted histogram-based gradient boosting regressor.

Stores the binning information, initial prediction, and the sequence of fitted histogram trees. Predictions are computed by binning the input features and traversing each tree.

Trait Implementations

impl<F: Clone> Clone for FittedHistGradientBoostingRegressor<F>

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

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for FittedHistGradientBoostingRegressor<F>

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

Formats the value using the given formatter.

impl<F: Float + Send + Sync + 'static> FittedPipelineEstimator<F> for FittedHistGradientBoostingRegressor<F>

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

Generate predictions for the input data.

impl<F: Float + Send + Sync + 'static> HasFeatureImportances<F> for FittedHistGradientBoostingRegressor<F>

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

Returns a reference to the feature importance array.

impl<F: Float + Send + Sync + 'static> Predict<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>> for FittedHistGradientBoostingRegressor<F>

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

Predict target values.

Errors

Returns FerroError::ShapeMismatch if the number of features does not match the fitted model.

type Output = ArrayBase<OwnedRepr<F>, Dim<[usize; 1]>>

The prediction output type (e.g., ndarray::Array1<F> or ndarray::Array1<usize>).

type Error = FerroError

The error type returned by predict.