How to use the smelli.classes.CustomLikelihood function in smelli
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smelli / smelli / smelli / classes.py View on Github 
self.fast_likelihoods[fn] = L
for fn in self._likelihoods_yaml:
if include_likelihoods is not None and fn not in include_likelihoods:
continue
if exclude_likelihoods is not None and fn in exclude_likelihoods:
continue
if self.eft != 'SMEFT' and fn in ['likelihood_ewpt.yaml',
'likelihood_eeww.yaml',
'likelihood_zlfv.yaml',
'likelihood_higgs.yaml',]:
continue
with open(self._get_yaml_path(fn), 'r') as f:
L = Likelihood.load(f)
self.likelihoods[fn] = L
for name, observables in self._custom_likelihoods_dict.items():
L = CustomLikelihood(self, observables)
self.custom_likelihoods['custom_' + name] = Lsmelli
A Python package providing a global likelihood function in the space of dimension-6 Wilson coefficients of the Standard Model Effective Field Theory (SMEFT)
