Method toJSON

src/neural-network.js:854–896

* * @returns * { * layers: [ * { * x: {}, * y: {} * }, * { * '0': { * bias: -0.98771313, * weights: { * x: 0.8374838, * y: 1.245858 * }, * '1': { *

()

   *  }
   */
  toJSON() {
    let layers = [];
    for (let layer = 0; layer <= this.outputLayer; layer++) {
      layers[layer] = {};

      let nodes;
      // turn any internal arrays back into hashes for readable json
      if (layer === 0 && this.inputLookup) {
        nodes = Object.keys(this.inputLookup);
      }
      else if (layer === this.outputLayer && this.outputLookup) {
        nodes = Object.keys(this.outputLookup);
      }
      else {
        nodes = range(0, this.sizes[layer]);
      }

      for (let j = 0; j < nodes.length; j++) {
        let node = nodes[j];
        layers[layer][node] = {};

        if (layer > 0) {
          layers[layer][node].bias = this.biases[layer][j];
          layers[layer][node].weights = {};
          for (let k in layers[layer - 1]) {
            let index = k;
            if (layer === 1 && this.inputLookup) {
              index = this.inputLookup[k];
            }
            layers[layer][node].weights[k] = this.weights[layer][j][index];
          }
        }
      }
    }
    return {
      sizes: this.sizes,
      layers,
      outputLookup:!!this.outputLookup,
      inputLookup:!!this.inputLookup,
      activation: this.activation,
      trainOpts: this._getTrainOptsJSON()
    };
  }

  /**
   *