Throws a NaN even though dataset / output are just numbers.

What is wrong?

Getting {"error": null, "iterations": 20000} even though training dataset are just numbers.

Where does it happen?

When brain.js trains data in my sample website running in Chrome 65 on Mac

How do we replicate the issue?

Input data: https://gist.github.com/digi0ps/65bebf027876f85b42ab7b4dd2ba49bf Code:

 let net = new brain.NeuralNetwork();
 net.train(encoded);
 trained  = net.toFunction()

How important is this (1-5)?

1. Just trying to learn. But I’m curious as to why it’s not working

Expected behavior (i.e. solution)

Error shouldn’t have been NaN. When I run net.run with an input I get {english: NaN, tanglish: NaN} instead of values inside them.

Other Comments

Here is the NeuralNetwork object: https://gist.github.com/digi0ps/53292e8c55c31b7de8de9dcb06ea22e5

Can you help? Regards, Sriram.

[robertleeplummerjr]

Working example: https://jsfiddle.net/robertleeplummerjr/jvLw503L/10/

[robertleeplummerjr]

The issue is that your input array lengths are staggered. A simple fix of the following will bring results:

const net = new brain.NeuralNetwork();
net.train(fixLengths(data));

function fixLengths(data) {
  let maxLengthInput = -1;
  for (let i = 0; i < data.length; i++) {
    if (data[i].input.length > maxLengthInput) {
      maxLengthInput = data[i].input.length;
    }
  }
  
  for (let i = 0; i < data.length; i++) {
    while (data[i].input.length < maxLengthInput) {
      data[i].input.push(0);
    }
  }
  
  return data;
}