Struct LassoFitOptions 

pub struct LassoFitOptions {
    pub lambda: f64,
    pub intercept: bool,
    pub standardize: bool,
    pub max_iter: usize,
    pub tol: f64,
    pub penalty_factor: Option<Vec<f64>>,
    pub warm_start: Option<Vec<f64>>,
    pub weights: Option<Vec<f64>>,
}

Options for lasso regression fitting.

Configuration options for lasso regression (L1-regularized linear regression).

Fields

• lambda - Regularization strength (≥ 0, higher = more sparsity)
• intercept - Whether to include an intercept term
• standardize - Whether to standardize predictors to unit variance
• max_iter - Maximum coordinate descent iterations
• tol - Convergence tolerance on coefficient changes
• penalty_factor - Optional per-feature penalty multipliers
• warm_start - Optional initial coefficient values for warm starts
• weights - Optional observation weights

Example

let options = LassoFitOptions {
    lambda: 0.1,
    intercept: true,
    standardize: true,
    ..Default::default()
};

Fields

lambda: f64

intercept: bool

standardize: bool

max_iter: usize

tol: f64

penalty_factor: Option<Vec<f64>>

warm_start: Option<Vec<f64>>

weights: Option<Vec<f64>>

Trait Implementations

impl Clone for LassoFitOptions

fn clone(&self) -> LassoFitOptions

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LassoFitOptions

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

Formats the value using the given formatter.

impl Default for LassoFitOptions

fn default() -> Self

Returns the “default value” for a type.