Using hierarchical optimization based on RelativeAmiciCalculator, the return value of AmiciObjective.__call__(..., return_dict=True) sometimes contains inner_parameters, sometimes it doesn't. I didn't see a clear pattern yet. I would have expected inner_parameters to always be present.
Using hierarchical optimization based on
RelativeAmiciCalculator
, the return value ofAmiciObjective.__call__(..., return_dict=True)
sometimes containsinner_parameters
, sometimes it doesn't. I didn't see a clear pattern yet. I would have expectedinner_parameters
to always be present.sensi_orders=(0,)
, failed simulation ->inner_parameters
consistently absent -> okay, I'd saysensi_orders=(0,)
, successful simulation ->inner_parameters
sometimes present -> not okaysensi_orders=(0, 1)
, successful simulation ->inner_parameters
consistently absent -> not okaysensi_orders=(0, 1)
, failed simulation ->inner_parameters
consistently absent -> okay, I'd say