jiayihu

export type Omit<T, K> = Pick<T, Exclude<keyof T, K>>;
export type ValueOf<T> = T[keyof T];

export function assertNever(_: never): never {
  throw new Error('Unreachable code');
}

export function debounce<F extends (...params: Array<any>) => void>(fn: F, delay: number): F {
  let timer: NodeJS.Timeout;

jiayihu

  // Available variables:
  // - Machine
  // - interpret
  // - assign
  // - send
  // - sendParent
  // - spawn
  // - raise
  // - actions

jiayihu

Machine Learning

Supervised learning

• Inductive bias
• Spazio delle ipotesi $H$ con ipotesi $h \in H$
• version space, spazio delle ipotesi tra gli estremi di quelle consistenti
• Ad esempio spazio delle curve polinomiali, con obiettivo minimizzare: $min_{w} 1/n \sum_{i=1}^n (y_i - wx_i)^2$
• Training/empirical error vs ideal error

jiayihu

  // Available variables:
  // - Machine
  // - interpret
  // - assign
  // - send
  // - sendParent
  // - spawn
  // - raise
  // - actions

jiayihu

#![allow(non_snake_case)]

fn init_array<const M: usize, const N: usize>(
    A: &mut [[f32; N]; M],
    r: &mut [f32; M],
    p: &mut [f32; N],
) {
    for i in 0..N {
        p[i] = (i % N) as f32 / N as f32;
    }