const brain = require('brain.js');

const net = new brain.NeuralNetwork();

const out = net.train([
    {
        input:
            {x: 0, y: 0.5, isFriendly: 1, isAccessible: 1, danger: 0, canAttack: 0, rank: .5, isTree: 0},
            // {x: 0.25, y: 0.5, isFriendly: 1, isAccessible: 1, danger: 0, canAttack: 0, rank: .5, isTree: 0},
            // {x: 0.75, y: 0.5, isFriendly: 1, isAccessible: 1, danger: 0, canAttack: 0, rank: .5, isTree: 0},
            // {x: 1, y: 0.5, isFriendly: 1, isAccessible: 1, danger: 0, canAttack: 0, rank: .5, isTree: 0},
        // ], output: 0
        output: {x: 0, y: 0.5}
    }
]);

console.log(out);
console.log('test');
console.log(net.toJSON());

const test = net.run([
            {x: 0, y: 0.5, isFriendly: 1, isAccessible: 1, danger: 0, canAttack: 0, rank: .5, isTree: 0},
            {x: 0.25, y: 0.5, isFriendly: 1, isAccessible: 1, danger: 0, canAttack: 0, rank: .5, isTree: 0},
            {x: 0.75, y: 0.5, isFriendly: 1, isAccessible: 1, danger: 0, canAttack: 0, rank: .5, isTree: 0},
            {x: 1, y: 0.5, isFriendly: 1, isAccessible: 1, danger: 0, canAttack: 0, rank: .5, isTree: 0},
        ]);

console.log(test);