SciPy Optimize
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class Scipy(_opt_id=None, _signal_pipe=None, _results_queue=None, _pause_flag=None, _is_log_detailed=False, _workers=1, _backend='threads', method='Nelder-Mead', jac=None, hess=None, tol=None, **kwargs)

   Bases: "BaseOptimizer"

   Wrapper around scipy.optimize.minimize.

   Warning:

     This is quite a rough wrapper around SciPy's optimizers since the
     code is quite impenetrable to outside code, and callbacks do not
     function consistently. Therefore, most GloMPO functionality like
     checkpointing and information sharing is not available. Users are
     advised to try "Nevergrad" instead which offers an interface to
     the SciPy optimizers with full GloMPO functionality.This
     optimizer is also prone to hanging in certain edge cases, thus
     you are advised to set "end_timeout" in the "GloMPOManager" to a
     reasonable value.

   Parameters:
   _opt_id, _signal_pipe, _results_queue, _pause_flag,
   _is_log_detailed, _workers, _backend
      See "BaseOptimizer".

   method, jac, hess, hessp, tol
      Passed to the "scipy.optimize.minimize" arguments of the same
      name.

   "**kwargs"
      Passed to the "options" argument of "scipy.optimize.minimize".
