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>>,
}

Options for lasso regression fitting.

Fields

• lambda - Regularization strength (single value)
• intercept - Whether to include an intercept term (default: true)
• standardize - Whether to standardize predictors (default: true)
• max_iter - Maximum iterations per lambda (default: 1000)
• tol - Convergence tolerance (default: 1e-7)
• penalty_factor - Optional per-feature penalty factors

Fields

lambda: f64

Regularization strength (must be >= 0)

intercept: bool

Whether to include an intercept

standardize: bool

Whether to standardize predictors

max_iter: usize

Maximum coordinate descent iterations

tol: f64

Convergence tolerance on coefficient changes

penalty_factor: Option<Vec<f64>>

Per-feature penalty factors (optional)

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.