[−][src]Trait hnsw::FloatingDistance

pub trait FloatingDistance {
    fn floating_distance(lhs: &Self, rhs: &Self) -> f32;
}

Implement this trait when your features have a floating point distance between them. You will take no performance penalty for doing so. Please ensure your distance satisfies the conditions on floating_distance.

Required methods

`fn floating_distance(lhs: &Self, rhs: &Self) -> f32`

This must compute the distance between two Self as a f32. The output must not be negative, infinity, or NaN. Subnormal numbers and zero are allowed.

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Implementors

`impl<'_> FloatingDistance for Euclidean<&'_ [f32]>`[src]

`fn floating_distance(Euclidean: &Self, Euclidean: &Self) -> f32`[src]