DistributionSampler

Struct DistributionSampler 

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pub struct DistributionSampler { /* private fields */ }
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Advanced distribution sampling utilities

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impl DistributionSampler

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pub fn new(seed: Option<u64>) -> Self

Create a new distribution sampler with optional seed

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pub fn normal(&mut self, mean: f64, std: f64, n: usize) -> UtilsResult<Vec<f64>>

Sample from normal distribution

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pub fn uniform( &mut self, low: f64, high: f64, n: usize, ) -> UtilsResult<Vec<f64>>

Sample from uniform distribution

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pub fn beta(&mut self, alpha: f64, beta: f64, n: usize) -> UtilsResult<Vec<f64>>

Sample from beta distribution

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pub fn gamma( &mut self, shape: f64, scale: f64, n: usize, ) -> UtilsResult<Vec<f64>>

Sample from gamma distribution

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pub fn multivariate_normal_diag( &mut self, mean: &[f64], variances: &[f64], n: usize, ) -> UtilsResult<Vec<Vec<f64>>>

Sample from multivariate normal distribution (diagonal covariance)

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pub fn truncated_normal( &mut self, mean: f64, std: f64, low: f64, high: f64, n: usize, ) -> UtilsResult<Vec<f64>>

Sample from truncated normal distribution

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pub fn mixture_normal( &mut self, components: &[(f64, f64, f64)], n: usize, ) -> UtilsResult<Vec<f64>>

Sample from mixture distribution

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