Enum Loss 

pub enum Loss {
    Linear,
    SoftL1,
    Huber,
    Cauchy,
    Arctan,
}

SciPy’s loss selector for least_squares.

Linear is the identity loss (rho(z) = z); the others are SciPy’s robust IMPLEMENTED_LOSSES. With Linear, no reweighting is applied and the solver follows its ordinary least-squares trajectory.

Variants

Linear

SoftL1

Huber

Cauchy

Arctan

Trait Implementations

impl Clone for Loss

fn clone(&self) -> Loss

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Loss

impl Debug for Loss

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

Formats the value using the given formatter.

impl Default for Loss

fn default() -> Loss

Returns the “default value” for a type.

impl Eq for Loss

impl PartialEq for Loss

fn eq(&self, other: &Loss) -> 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 StructuralPartialEq for Loss