brain.js - setup

var fs = require('fs')                           // to get directory listings, and read files - npm install fs
var brain = require('brain.js')                  // contains core functions - npm install brain.js

var businessPath = "path/to/business/dataset"    // location of 100 training files
var techPath = "path/to/tech/dataset"            // second class 100 training files
var testFile = "path/to/test/file.txt"           // file which will be used to test accuracy - belongs to tech

var inputs = []                                  // will be used to store all training data prior to training

var errorThreshold = 0.085                       // the minimum error margin needed to class the nn as trained
var iterations = 100                             // the maximum number of training iterations to meet, if the errorThreshold is not met

var net = new brain.recurrent.LSTM()             // the instance of the LSTM model I will be using