pub trait SineEstimator {
// Required method
fn model_sine(
&self,
predictors: &[f64],
outcomes: &[f64],
max_frequency: f64,
) -> SineCoefficients;
// Provided method
fn boxed_sine(self) -> Box<dyn SineEstimator>
where Self: Sized + 'static { ... }
}
Available on crate feature
regression
only.Expand description
Implemented by all estimators yielding a sine wave.
Required Methods§
sourcefn model_sine(
&self,
predictors: &[f64],
outcomes: &[f64],
max_frequency: f64,
) -> SineCoefficients
fn model_sine( &self, predictors: &[f64], outcomes: &[f64], max_frequency: f64, ) -> SineCoefficients
Model the SineCoefficients
from predictors
and outcomes
.
§Panics
The two slices must have the same length.
Provided Methods§
sourcefn boxed_sine(self) -> Box<dyn SineEstimator>where
Self: Sized + 'static,
fn boxed_sine(self) -> Box<dyn SineEstimator>where
Self: Sized + 'static,
Put this estimator in a box. This is useful for conditionally choosing different estimators.