_ModelConfig

class pyhf.pdf._ModelConfig(spec, **config_kwargs)

Bases: pyhf.mixins._ChannelSummaryMixin

__init__(spec, **config_kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

_create_and_register_paramsets(required_paramsets)

par_slice(name)

param_set(name)

set_poi(name)

suggested_bounds()

suggested_fixed()

Identify the fixed parameters in the model.

Returns

A list of booleans, True for fixed and False for not fixed.

Return type

List

Something like the following to build fixed_vals appropriately:

fixed_pars = pdf.config.suggested_fixed()
inits = pdf.config.suggested_init()
fixed_vals = [
    (index, init)
    for index, (init, is_fixed) in enumerate(zip(inits, fixed_pars))
    if is_fixed
]

suggested_init()