pmrf.fitting.FitResults

class pmrf.fitting.FitResults(measured: skrf.network.Network | dict[str, skrf.network.Network] | None = None, initial_model: pmrf.models.model.Model | None = None, fitted_model: pmrf.models.model.Model | None = None, solver_results: Any = None, settings: pmrf.fitting._base.FitSettings | None = None)

Bases: object

Parameters:

• measured (Network | dict[str, Network] | None)

• initial_model (Model | None)

• fitted_model (Model | None)

• solver_results (Any)

• settings (FitSettings | None)

__init__(measured=None, initial_model=None, fitted_model=None, solver_results=None, settings=None)

Parameters:

• measured (Network | dict[str, Network] | None)

• initial_model (Model | None)

• fitted_model (Model | None)

• solver_results (Any)

• settings (FitSettings | None)

Return type:

None

Methods

__delattr__(name, /)	Implement delattr(self, name).
__dir__()	Default dir() implementation.
__eq__(other)	Return self==value.
__format__(format_spec, /)	Default object formatter.
__ge__(value, /)	Return self>=value.
__getattribute__(name, /)	Return getattr(self, name).
__getstate__()	Helper for pickle.
__gt__(value, /)	Return self>value.
__init__([measured, initial_model, ...])
__init_subclass__	This method is called when a class is subclassed.
__le__(value, /)	Return self<=value.
__lt__(value, /)	Return self<value.
__ne__(value, /)	Return self!=value.
__new__(*args, **kwargs)
__reduce__()	Helper for pickle.
__reduce_ex__(protocol, /)	Helper for pickle.
__repr__()	Return repr(self).
__setattr__(name, value, /)	Implement setattr(self, name, value).
__sizeof__()	Size of object in memory, in bytes.
__str__()	Return str(self).
__subclasshook__	Abstract classes can override this to customize issubclass().
decode_solver_results(group)
encode_solver_results(group)
load_hdf(path)
save_hdf(path[, metadata])

Attributes

__annotations__
__dataclass_fields__
__dataclass_params__
__dict__
__doc__
__hash__
__match_args__
__module__
__weakref__	list of weak references to the object
fitted_model
initial_model
measured
settings
solver_results

measured: Network | dict[str, Network] | None = None

initial_model: Model | None = None

fitted_model: Model | None = None

solver_results: Any = None

settings: FitSettings | None = None

encode_solver_results(group)

Parameters:

group (Group)

classmethod decode_solver_results(group)

Parameters:

group (Group)

Return type:

Any

save_hdf(path, metadata=None)

Parameters:

• path (str)

• metadata (dict | None)

classmethod load_hdf(path)

Parameters:

path (str)

Return type:

FitResults