ResultsNormalized¶

class ompy.ResultsNormalized(name, _Model__isfrozen=False, nld=<factory>, gsf=<factory>, pars=<factory>, samples=<factory>, nld_model=<factory>, gsf_model_low=<factory>, gsf_model_high=<factory>)[source]¶

Bases: ompy.Model

Class to store the results of the Oslo Method

Variables

nld – see below
gsf – see below
pars – see below
samples – see below
nld_model – see below
gsf_model_low – see below
gsf_model_high – see below

Methods Summary

`asdict`()	wrapper for dataclasses.asdict()
`get_parameters`()	Returns a list of the names of the paramters
`is_changed`([include, exclude])	Verify that defaults arguments have been changed
`load`(path)	Loads own parameters from path
`save`(path)	Save the model parameters to path

Methods Documentation

asdict()¶

wrapper for dataclasses.asdict()

Return type: Dict[str, Any]

get_parameters()¶

Returns a list of the names of the paramters

Return type: List[str]

is_changed(include=[], exclude=[])¶

Verify that defaults arguments have been changed

Parameters

include (List[str], optional) – List of attribute names be included in the check. Default is all attributes.
exclude (List[str], optional) – List of attribute names to exclude be excluded from check. Default is none

Raises

ValueError – If parameters are still the default values

Return type

None

load(path)¶

Loads own parameters from path

Parameters: path (Union[str, Path]) – Path to pickled file
Raises: IOError – Path doesn’t exist
Return type: None

save(path)¶

Save the model parameters to path

Parameters: path (Union[str, Path]) – The path
Return type: None

gsf = None¶

normalized or initial, depending on method

Type: (Vector or List[Vector])

gsf_model_high = None¶

gsf model at high Eγ for each gsf

Type: List[AbstractExtrapolationModel]

gsf_model_low = None¶

gsf model at low Eγ for each gsf

Type: List[AbstractExtrapolationModel]

nld = None¶

normalized or initial, depending on method

Type: (Vector or List[Vector])

nld_model = None¶

nld model for each nld

Type: (List[Callable[.., Any]])

pars = None¶

Parameters for the normalization/models used there

Type: (List[Dict[str, Any]])

samples = None¶

Samples from the posterior of the parameters

Type: (List[Dict[str, Any]])