Added docs for method parameter
@@ -31,6 +31,7 @@ class Scipy:
to be minimized.
variables: The list (tuple) of variables to be optimized
(typically `model.trainable_variables`)
+ method: The type of solver to use in SciPy. Defaults to "L-BFGS-B".
step_callback: If not None, a callable that gets called once after
each optimisation step. The callabe is passed the arguments
`step`, `variables`, and `values`. `step` is the optimisation
