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