UnifiedLogNormal

Struct UnifiedLogNormal 

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pub struct UnifiedLogNormal { /* private fields */ }

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impl UnifiedLogNormal

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pub fn inner(&self) -> &LogNormal<f64>

Get reference to inner distribution

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pub fn inner_mut(&mut self) -> &mut LogNormal<f64>

Get mutable reference to inner distribution

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impl UnifiedLogNormal

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pub fn new(mean: f64, std_dev: f64) -> Result<Self, UnifiedDistributionError>

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impl Clone for UnifiedLogNormal

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fn clone(&self) -> UnifiedLogNormal

Returns a duplicate 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 UnifiedLogNormal

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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 Distribution<f64> for UnifiedLogNormal

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fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64

Generate a random value of T, using rng as the source of randomness.
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fn sample_iter<R>(self, rng: R) -> Iter<Self, R, T>
where R: Rng, Self: Sized,

Create an iterator that generates random values of T, using rng as the source of randomness. Read more
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fn map<F, S>(self, func: F) -> Map<Self, F, T, S>
where F: Fn(T) -> S, Self: Sized,

Map sampled values to type S Read more
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impl UnifiedDistribution<f64> for UnifiedLogNormal

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fn sample_unified<R: Rng>(&self, rng: &mut Random<R>) -> f64

Sample a single value from the distribution
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fn sample_vec<R: Rng>(&self, rng: &mut Random<R>, n: usize) -> Vec<f64>

Sample multiple values into a vector
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fn sample_array<R: Rng>(&self, rng: &mut Random<R>, shape: IxDyn) -> ArrayD<f64>
where f64: Clone,

Sample into an ndarray
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fn parameters_string(&self) -> String

Get distribution parameters as a string (for debugging/logging)
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fn validate(&self) -> Result<(), UnifiedDistributionError>

Validate distribution parameters

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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impl<D, T> DistributionExt<T> for D
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fn random_array<R: Rng, Dim: Dimension>( &self, rng: &mut Random<R>, shape: Dim, ) -> Array<T, Dim>
where Self: Copy,

Create a random array with values from this distribution
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fn sample_vec<R: Rng>(&self, rng: &mut Random<R>, size: usize) -> Vec<T>
where Self: Copy,

Create a random vector with values from this distribution
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