def build_Asimov_data(model: pyhf.Model, with_aux: bool = True) -> List[float]:
"""Get asimov dataset for a model
Args:
model (pyhf.Model): the model for which to construct the asimov data
with_aux (bool, optional): with or without auxdata. Defaults to True.
Returns:
List[float]: asimov data
"""
asimov_data = model.expected_data(
get_asimov_parameters(model), include_auxdata=with_aux
).tolist()
return asimov_data
def build_Asimov_data(model: pyhf.Model, with_aux: bool = True) -> List[float]:
"""Returns the Asimov dataset (optionally with auxdata) for a model.
Initial parameter settings for normalization factors in the workspace are treated as
the default settings for that parameter. Fitting the Asimov dataset will recover
these initial settings as the maximum likelihood estimate for normalization factors.
Initial settings for other modifiers are ignored.
Args:
model (pyhf.Model): the model from which to construct the dataset
with_aux (bool, optional): whether to also return auxdata, defaults to True
Returns:
List[float]: the Asimov dataset
"""
asimov_data = model.expected_data(get_asimov_parameters(model),
include_auxdata=with_aux).tolist()
return asimov_data