Trait FitModel 

pub trait FitModel {
    // Required method
    fn evaluate(&self, params: &[f64]) -> Result<Vec<f64>, FittingError>;

    // Provided method
    fn analytical_jacobian(
        &self,
        _params: &[f64],
        _free_param_indices: &[usize],
        _y_current: &[f64],
    ) -> Option<FlatMatrix> { ... }
}

A model that can be fitted to data.

Required Methods

fn evaluate(&self, params: &[f64]) -> Result<Vec<f64>, FittingError>

The model’s predictions at params, one per data point.

Provided Methods

fn analytical_jacobian( &self, _params: &[f64], _free_param_indices: &[usize], _y_current: &[f64], ) -> Option<FlatMatrix>

The Jacobian at params if available analytically, else None.

Implementations on Foreign Types

impl<M: FitModel + ?Sized> FitModel for &M

fn evaluate(&self, params: &[f64]) -> Result<Vec<f64>, FittingError>

fn analytical_jacobian( &self, params: &[f64], free_param_indices: &[usize], y_current: &[f64], ) -> Option<FlatMatrix>

impl<M: FitModel + ?Sized> FitModel for Box<M>

fn evaluate(&self, params: &[f64]) -> Result<Vec<f64>, FittingError>

fn analytical_jacobian( &self, params: &[f64], free_param_indices: &[usize], y_current: &[f64], ) -> Option<FlatMatrix>

Implementors