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GaussianComplexity

oxilean_std::statistical_learning::types

Struct GaussianComplexity 

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pub struct GaussianComplexity {
    pub n: usize,
    pub class_size: usize,
}
Expand description

Gaussian complexity (Gaussian analog of Rademacher).

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§n: usize

Number of samples n.

§class_size: usize

Number of hypotheses in the class.

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impl GaussianComplexity

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pub fn new(n: usize, class_size: usize) -> Self

Create a new GaussianComplexity instance.

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pub fn upper_bound(&self) -> f64

Upper bound for Gaussian complexity: √(2 ln|H| / n) (same as Rademacher by comparison).

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type Error = Infallible

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type Error = <U as TryFrom<T>>::Error

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