// MLP Function Approximation f(x)=y=x/2^3-5

var x = [
  0,
  1,
  2,
  3,
  4,
  5,
  6,
  7,
  8,
  9,
  10,
  11,
  12,
  13,
  14,
  15,
  16,
  17,
  18,
  19
];

x=ml.stats.utils.wrap(x);

// y=Math.pow(x/2,3)-5
var y = [ 
  -5,
  -4.875,
  -4,
  -1.625,
  3,
  10.625,
  22,
  37.875,
  59,
  86.125,
  120,
  161.375,
  211,
  269.625,
  338,
  416.875,
  507,
  609.125,
  724,
  852.375 
];

var model = ml.learn({
    algorithm : ml.ML.MLP,
    x : x,
    y : y,
    normalize:true,
    regression: true,
    epochs : 1000000,
    hidden_layers : [3,4]
});

print(model)
print(merge(ml.stats.utils.wrap(ml.predict(model,x)),y,'c'));