pmrf.fitting.results.NumPyroResults
- class pmrf.fitting.results.NumPyroResults(measured=None, initial_model=None, fitted_model=None, solver_results=None, settings=None)[source]
Bases:
BayesianResults
- Parameters:
- __init__(measured=None, initial_model=None, fitted_model=None, solver_results=None, settings=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