rustframe/examples/distributions.rs
2025-07-26 23:05:25 +01:00

67 lines
2.0 KiB
Rust

use rustframe::compute::stats::{binomial_cdf, binomial_pmf, normal_cdf, normal_pdf, poisson_pmf};
use rustframe::matrix::Matrix;
/// Demonstrates some probability distribution helpers.
fn main() {
normal_example();
println!("\n-----\n");
binomial_example();
println!("\n-----\n");
poisson_example();
}
fn normal_example() {
println!("Normal distribution\n-------------------");
let x = Matrix::from_vec(vec![0.0, 1.0], 1, 2);
let pdf = normal_pdf(x.clone(), 0.0, 1.0);
let cdf = normal_cdf(x, 0.0, 1.0);
println!("pdf : {:?}", pdf.data());
println!("cdf : {:?}", cdf.data());
}
fn binomial_example() {
println!("Binomial distribution\n---------------------");
let k = Matrix::from_vec(vec![0_u64, 1, 2], 1, 3);
let pmf = binomial_pmf(4, k.clone(), 0.5);
let cdf = binomial_cdf(4, k, 0.5);
println!("pmf : {:?}", pmf.data());
println!("cdf : {:?}", cdf.data());
}
fn poisson_example() {
println!("Poisson distribution\n--------------------");
let k = Matrix::from_vec(vec![0_u64, 1, 2], 1, 3);
let pmf = poisson_pmf(3.0, k);
println!("pmf : {:?}", pmf.data());
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_normal_example() {
let x = Matrix::from_vec(vec![0.0, 1.0], 1, 2);
let pdf = normal_pdf(x.clone(), 0.0, 1.0);
let cdf = normal_cdf(x, 0.0, 1.0);
assert!((pdf.get(0, 0) - 0.39894228).abs() < 1e-6);
assert!((cdf.get(0, 1) - 0.8413447).abs() < 1e-6);
}
#[test]
fn test_binomial_example() {
let k = Matrix::from_vec(vec![0_u64, 1, 2], 1, 3);
let pmf = binomial_pmf(4, k.clone(), 0.5);
let cdf = binomial_cdf(4, k, 0.5);
assert!((pmf.get(0, 2) - 0.375).abs() < 1e-6);
assert!((cdf.get(0, 2) - 0.6875).abs() < 1e-6);
}
#[test]
fn test_poisson_example() {
let k = Matrix::from_vec(vec![0_u64, 1, 2], 1, 3);
let pmf = poisson_pmf(3.0, k);
assert!((pmf.get(0, 1) - 3.0_f64 * (-3.0_f64).exp()).abs() < 1e-6);
}
}