Struct ElasticNetValidParams

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

Configure an ElasticNet model.

Implementations

impl<F: Float> ElasticNetValidParams<F>

pub fn alpha(&self) -> F

pub fn l1_ratio(&self) -> F

pub fn max_iterations(&self) -> usize

pub fn max_epochs(&self) -> usize

pub fn ws_start_size(&self) -> usize

pub fn tolerance(&self) -> F

pub fn K(&self) -> usize

pub fn use_acceleration(&self) -> bool

pub fn verbose(&self) -> bool

Trait Implementations

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

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

Returns a duplicate 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: Float, S: Data<Elem = F>, T: AsSingleTargets<Elem = F>> Fit<ArrayBase<S, Dim<[usize; 2]>>, T, EstimatorError> for ElasticNetValidParams<F>

This implements the coordinate descent optimization procedure for single-task problems and dense design matrices.

type Object = ElasticNet<F>

If successful, the output of the coordinate descent solver is an instance of ElasticNet containing the fitted coefficients.

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

This method fits a ElasticNet instance to a dataset with a dense design matrix.

impl<F: Float, T: AsSingleTargets<Elem = F>> Fit<CSCArray<'_, F>, T, EstimatorError> for ElasticNetValidParams<F>

This implements the coordinate descent optimization procedure for single-task problems and sparse design matrices.

type Object = ElasticNet<F>

If successful, the output of the coordinate descent solver is an instance of ElasticNet containing the fitted coefficients.

fn fit(&self, dataset: &DatasetBase<CSCArray<'_, F>, T>) -> Result<Self::Object>

This method fits a ElasticNet instance to a dataset with a dense design matrix.

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

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