Struct std_dev::regression::PowerCoefficients

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pub struct PowerCoefficients {
    pub k: f64,
    pub e: f64,
    pub predictor_additive: f64,
    pub outcome_additive: f64,
}
Available on crate feature regression only.
Expand description

The coefficients of a power (also called growth) function (kx^e).

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§k: f64

Constant

§e: f64

exponent

§predictor_additive: f64

If the predictors needs to have an offset applied to remove values under 1.

Defaults to 0.

§outcome_additive: f64

If the outcomes needs to have an offset applied to remove values under 1.

Defaults to 0.

Trait Implementations§

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impl Clone for PowerCoefficients

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fn clone(&self) -> PowerCoefficients

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for PowerCoefficients

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Display for PowerCoefficients

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl PartialEq for PowerCoefficients

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fn eq(&self, other: &PowerCoefficients) -> bool

This method tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl Predictive for PowerCoefficients

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fn predict_outcome(&self, predictor: f64) -> f64

Calculates the predicted outcome of predictor.
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fn boxed(self) -> DynModel
where Self: Sized + Display + 'static,

Put this predicative model in a box. This is useful for conditionally choosing different models.
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impl StructuralPartialEq for PowerCoefficients

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impl<T> Any for T
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Gets the TypeId of self. Read more
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where T: CheckedCast<Dst>,

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Casts the value.
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impl<T> Determination for T
where T: Predictive,

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fn determination( &self, predictors: impl Iterator<Item = f64>, outcomes: impl Iterator<Item = f64> + Clone, len: usize ) -> f64

Available on crate feature regression only.
Calculates the R² (coefficient of determination), the proportion of variation in predicted model. Read more
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fn determination_slice(&self, predictors: &[f64], outcomes: &[f64]) -> f64

Available on crate feature regression only.
Convenience method for Determination::determination when using slices.
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Calls U::from(self).

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OverflowingCasts the value.
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Casts the value.
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