Trait std_dev::regression::trig::SecantEstimator

pub trait SecantEstimator {
    // Required method
    fn model_secant(
        &self,
        predictors: &[f64],
        outcomes: &[f64],
        max_frequency: f64
    ) -> SecantCoefficients;

    // Provided method
    fn boxed_sesecant(self) -> Box<dyn SecantEstimator>
       where Self: Sized + 'static { ... }
}

Available on crate feature regression only.

Implemented by all estimators yielding a secant function.

Required Methods

fn model_secant( &self, predictors: &[f64], outcomes: &[f64], max_frequency: f64 ) -> SecantCoefficients

Model the SecantCoefficients from predictors and outcomes.

Panics

The two slices must have the same length.

Provided Methods

fn boxed_sesecant(self) -> Box<dyn SecantEstimator>where Self: Sized + 'static,

Put this estimator in a box. This is useful for conditionally choosing different estimators.

Implementations on Foreign Types

impl<T: SecantEstimator + ?Sized> SecantEstimator for &T

fn model_secant( &self, predictors: &[f64], outcomes: &[f64], max_frequency: f64 ) -> SecantCoefficients

Implementors

impl SecantEstimator for std_dev::regression::binary_search::Options

impl SecantEstimator for std_dev::regression::spiral::Options