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