Struct CompositeObjective 

pub struct CompositeObjective<'a> { /* private fields */ }

A composite objective that combines a loss function with optional regularization

Implementations

impl<'a> CompositeObjective<'a>

pub fn new( loss: &'a dyn LossFunction, regularization: Option<&'a dyn Regularization>, ) -> Self

Create a new composite objective

Trait Implementations

impl<'a> Debug for CompositeObjective<'a>

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

Formats the value using the given formatter.

impl<'a> Objective for CompositeObjective<'a>

fn value( &self, coefficients: &Array1<Float>, data: &ObjectiveData, ) -> Result<Float>

Compute the objective value

fn gradient( &self, coefficients: &Array1<Float>, data: &ObjectiveData, ) -> Result<Array1<Float>>

Compute the gradient of the objective

fn supports_hessian(&self) -> bool

Check if the objective supports Hessian computation

fn value_and_gradient( &self, coefficients: &Array1<Float>, data: &ObjectiveData, ) -> Result<(Float, Array1<Float>)>

Compute both value and gradient (often more efficient than separate calls)

fn hessian( &self, _coefficients: &Array1<Float>, _data: &ObjectiveData, ) -> Result<Array2<Float>>

Compute the Hessian matrix (for second-order methods)