nn/nn.test.js

import { assert, assertEquals } from "https://deno.land/std@0.102.0/testing/asserts.ts";
import { Split, Build, Label, Learn, Check } from "./nn.ts";

let data = [
    [ 0.10,  0.05, 0, 1],
    [ 0.00, -0.06, 0, 1],
    [ 0.99,  0.85, 1, 0],
    [ 1.20,  1.05, 1, 0]
];
let columns = [2, 3];
let input, output;
let layers = [];

Deno.test("NN.Split", ()=>
{
    [input, output] = Split(data, columns);
    assert(input);
    assert(output);
    assertEquals(input.length, output.length, "data split into equal input and output");

    assertEquals(input[0].length, 2, "unpadded input");
    assertEquals(output[0].length, 2, "unpadded output");
});

Deno.test("NN.Build", ()=>
{
    layers = Build(2, 5, 2);

    assertEquals(layers.length, 2, "correct number of matrices");
    assertEquals(layers[0][0].length, input[0].length+1, "input: padded input");
    assertEquals(layers[0].length, 5, "input: unpadded output");

    assertEquals(layers[1][0].length, 6, "hidden: padded input");
    assertEquals(layers[1].length, output[0].length, "hidden: unpadded output");
});

Deno.test("NN.Label", ()=>
{
    let labels = Label(input, layers);
    assertEquals(labels.length, output.length);
    assertEquals(labels[0].length, output[0].length);
});

Deno.test("NN.Learn", ()=>
{
    let error = Learn(input, layers, output, 50, 0.2);
    console.log(error);
    assertEquals(error.length, output.length);
    let total = 0;
    let count = error.length*error[0].length;
    error.forEach(row=> row.forEach(component=> total+=Math.abs(component)));
    assert(total/count < 0.3);
});