Stochastic optimization 

So for the one hidden layer the example provides the following:

`model1 = build_supervised(X, Y, Qs=(1,), Ms=(15,15))`
`model1.optimize('bfgs', max_iters=1000, messages=1)`

What would be the code required to perform stochastic optimization for this example?
`model1.optimize_SGD()` doesn't work; returns the error `NameError: global name 'SGD' is not defined`

Thanks 
