Struct LikelihoodWeighting

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pub struct LikelihoodWeighting {
    pub num_samples: usize,
}

Expand description

Likelihood weighting for Bayesian networks.

A specialized form of importance sampling where:

Sample non-evidence variables from prior
Weight by likelihood of evidence

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§num_samples: usize

Number of samples

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impl LikelihoodWeighting

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pub fn new(num_samples: usize) -> Self

Create a new likelihood weighting sampler.

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pub fn run( &self, graph: &FactorGraph, evidence: &Assignment, ) -> Result<HashMap<String, ArrayD<f64>>>

Run likelihood weighting with evidence.

Trait Implementations§

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impl Default for LikelihoodWeighting

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fn default() -> Self

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

Auto Trait Implementations§

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impl UnwindSafe for LikelihoodWeighting

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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

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

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

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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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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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