Struct linfa_elasticnet::ElasticNetValidParams

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

A verified hyper-parameter set ready for the estimation of a ElasticNet regression model

See ElasticNetParams for more informations.

Implementations

impl<F: Float> ElasticNetValidParams<F>

pub fn penalty(&self) -> F

pub fn l1_ratio(&self) -> F

pub fn with_intercept(&self) -> bool

pub fn max_iterations(&self) -> u32

pub fn tolerance(&self) -> F

Trait Implementations

impl<F: Clone> Clone for ElasticNetValidParams<F>

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

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for ElasticNetValidParams<F>

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

Formats the value using the given formatter.

impl<F, D, T> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, ElasticNetError> for ElasticNetValidParams<F> where
    F: Float,
    D: Data<Elem = F>,
    T: AsSingleTargets<Elem = F>, 

fn fit(
    &self,
    dataset: &DatasetBase<ArrayBase<D, Ix2>, T>
) -> Result<Self::Object>

Fit an elastic net model given a feature matrix x and a target variable y.

The feature matrix x must have shape (n_samples, n_features)

The target variable y must have shape (n_samples)

Returns a FittedElasticNet object which contains the fitted parameters and can be used to predict values of the target variable for new feature values.

type Object = ElasticNet<F>

impl<F: PartialEq> PartialEq<ElasticNetValidParams<F>> for ElasticNetValidParams<F>

fn eq(&self, other: &ElasticNetValidParams<F>) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &ElasticNetValidParams<F>) -> bool

This method tests for !=.

impl<F> StructuralPartialEq for ElasticNetValidParams<F>