Struct std_dev::regression::ols::OlsEstimator

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pub struct OlsEstimator;
Available on crate features regression and ols only.
Expand description

Linear: O(n) Polynomial: O(n*degree), which when using a set degree becomes O(n)

Trait Implementations§

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impl LinearEstimator for OlsEstimator

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fn model_linear( &self, predictors: &[f64], outcomes: &[f64] ) -> LinearCoefficients

Model the LinearCoefficients from predictors and outcomes. Read more
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fn boxed_linear(self) -> Box<dyn LinearEstimator>
where Self: Sized + 'static,

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

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fn model_polynomial( &self, predictors: &[f64], outcomes: &[f64], degree: usize ) -> PolynomialCoefficients

Model the PolynomialCoefficients from predictors and outcomes. Also takes a degree of the target polynomial. Some estimators may panic when degree is out of their range. Read more
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fn boxed_polynomial(self) -> Box<dyn PolynomialEstimator>
where Self: Sized + 'static,

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

Auto Trait Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

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Casts the value.
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where T: CheckedCast<Dst>,

Casts the value.
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where Src: CheckedCast<Dst>,

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Casts the value.
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OverflowingCasts the value.
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type Output = T

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Casts the value.
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fn saturating_cast_from(src: Src) -> Dst

Casts the value.
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The inverse inclusion map: attempts to construct self from the equivalent element of its superset. Read more
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