Struct RangeRecall

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pub struct RangeRecall {
    pub alpha: f64,
    pub cardinality: Cardinality,
    pub bias: Bias,
    pub percentile: f64,
}

Expand description

Range-based recall metric (Tatbul et al., NeurIPS 2018).

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§alpha: f64

Weight between overlap-only (0.0) and existence-aware (1.0) scoring.

§cardinality: Cardinality

Penalization policy when multiple predicted ranges match one true range.

§bias: Bias

Positional weighting within each range.

§percentile: f64

Score percentile used to derive a binary prediction threshold.

Trait Implementations§

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impl Default for RangeRecall

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fn default() -> Self

Returns the “default value” for a type. Read more

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impl Metric for RangeRecall

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fn name(&self) -> &str

Returns the name of this metric.

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fn score(&self, labels: &[u8], scores: &[f32]) -> f64

Computes the metric score. Read more

Auto Trait Implementations§

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impl UnwindSafe for RangeRecall

Blanket Implementations§

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

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self> ⓘ

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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