gleastsq
A basic least squares fitting library for Gleam. This library uses the Nx library from Elixir to perform matrix operations.
gleam add gleastsq
import gleam/option.{None}
import gleam/list
import gleam/io
import gleastsq
fn parabola(x: Float, params: List(Float)) -> Float {
let assert [a, b, c] = params
a *. x *. x +. b *. x +. c
}
pub fn main() {
let x = [0.0, 1.0, 2.0, 3.0, 4.0, 5.0]
let y = list.map(x, fn(x) { x *. x })
let initial_guess = [1.0, 1.0, 1.0]
let assert Ok(result) =
gleastsq.least_squares(
x,
y,
parabola,
initial_guess,
max_iterations: None,
epsilon: None,
tolerance: None,
lambda_reg: None,
)
io.debug(result) // [1.0, 0.0, 0.0] (within numerical error)
}
Further documentation can be found at https://hexdocs.pm/gleastsq.