Struct EnsembleLearnerValidParams 

pub struct EnsembleLearnerValidParams<P, R> {
    pub ensemble_size: usize,
    pub bootstrap_proportion: f64,
    pub model_params: P,
    pub rng: R,
}

Fields

ensemble_size: usize

The number of models in the ensemble

bootstrap_proportion: f64

The proportion of the total number of training samples that should be given to each model for training

model_params: P

The model parameters for the base model

rng: R

Trait Implementations

impl<P: Clone, R: Clone> Clone for EnsembleLearnerValidParams<P, R>

fn clone(&self) -> EnsembleLearnerValidParams<P, R>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<P: Debug, R: Debug> Debug for EnsembleLearnerValidParams<P, R>

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

Formats the value using the given formatter.

impl<D, T, P: Fit<Array2<D>, T::Owned, Error>, R: Rng + Clone> Fit<ArrayBase<OwnedRepr<D>, Dim<[usize; 2]>>, T, Error> for EnsembleLearnerValidParams<P, R>

where D: Clone, T: FromTargetArrayOwned, T::Elem: Copy + Eq + Hash, T::Owned: AsTargets,

type Object = EnsembleLearner<<P as Fit<ArrayBase<OwnedRepr<D>, Dim<[usize; 2]>>, <T as FromTargetArrayOwned>::Owned, Error>>::Object>

fn fit( &self, dataset: &DatasetBase<Array2<D>, T>, ) -> Result<Self::Object, Error>

impl<P: PartialEq, R: PartialEq> PartialEq for EnsembleLearnerValidParams<P, R>

fn eq(&self, other: &EnsembleLearnerValidParams<P, R>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<P: Copy, R: Copy> Copy for EnsembleLearnerValidParams<P, R>

impl<P, R> StructuralPartialEq for EnsembleLearnerValidParams<P, R>