training-options.js

network.train(data, {
  iterations: 20000,    // the maximum times to iterate the training data --> number greater than 0
  errorThresh: 0.005,   // the acceptable error percentage from training data --> number between 0 and 1
  log: false,           // true to use console.log, when a function is supplied it is used --> Either true or a function
  logPeriod: 10,        // iterations between logging out --> number greater than 0
  learningRate: 0.3,    // scales with delta to effect training rate --> number between 0 and 1
  momentum: 0.1,        // scales with next layer's change value --> number between 0 and 1
  callback: null,       // a periodic call back that can be triggered while training --> null or function
  callbackPeriod: 10,   // the number of iterations through the training data between callback calls --> number greater than 0
  timeout: Infinity     // the max number of milliseconds to train for --> number greater than 0
});