Stochastic optimization

[Homesh01]

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