pmrf.fitting.results.ScipyMinimizeResults
- class pmrf.fitting.results.ScipyMinimizeResults(measured=None, initial_model=None, fitted_model=None, solver_results=None, settings=None, fitter=None)[source]
Bases:
FrequentistResults- Parameters:
measured (Network | NetworkCollection | None)
initial_model (Model | None)
fitted_model (Model | None)
solver_results (Any)
settings (FitSettings | None)
fitter (BaseFitter | None)
- __init__(measured=None, initial_model=None, fitted_model=None, solver_results=None, settings=None, fitter=None)
- Parameters:
measured (Network | NetworkCollection | None)
initial_model (Model | None)
fitted_model (Model | None)
solver_results (Any | None)
settings (FitSettings | None)
fitter (BaseFitter | 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).
__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__(**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().
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 (if defined)
fitted_modelinitial_modelmeasuredsettingssolver_results