Struct smartcore::linear::elastic_net::ElasticNetSearchParameters

pub struct ElasticNetSearchParameters {
    pub alpha: Vec<f64>,
    pub l1_ratio: Vec<f64>,
    pub normalize: Vec<bool>,
    pub tol: Vec<f64>,
    pub max_iter: Vec<usize>,
}

ElasticNet grid search parameters

Fields

alpha: Vec<f64>

Regularization parameter.

l1_ratio: Vec<f64>

The elastic net mixing parameter, with 0 <= l1_ratio <= 1. For l1_ratio = 0 the penalty is an L2 penalty. For l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1, the penalty is a combination of L1 and L2.

normalize: Vec<bool>

If True, the regressors X will be normalized before regression by subtracting the mean and dividing by the standard deviation.

tol: Vec<f64>

The tolerance for the optimization

max_iter: Vec<usize>

The maximum number of iterations

Trait Implementations

impl Clone for ElasticNetSearchParameters

fn clone(&self) -> ElasticNetSearchParameters

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ElasticNetSearchParameters

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

Formats the value using the given formatter.

impl Default for ElasticNetSearchParameters

fn default() -> Self

Returns the “default value” for a type.

impl IntoIterator for ElasticNetSearchParameters

type Item = ElasticNetParameters

The type of the elements being iterated over.

type IntoIter = ElasticNetSearchParametersIterator

Which kind of iterator are we turning this into?

fn into_iter(self) -> Self::IntoIter

Creates an iterator from a value.