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§

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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§

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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.

Implementations on Foreign Types§

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

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fn model_logistic( &self, predictors: &[f64], outcomes: &[f64] ) -> LogisticCoefficients

Implementors§

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impl LogisticEstimator for std_dev::regression::binary_search::Options

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impl LogisticEstimator for std_dev::regression::spiral::Options

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impl LogisticEstimator for SpiralLogisticWithCeiling