threeML.bayesian.multinest_sampler module

class threeML.bayesian.multinest_sampler.MultiNestSampler(likelihood_model: Optional[astromodels.core.model.Model] = None, data_list: Optional[threeML.data_list.DataList] = None, **kwargs)

Bases: threeML.bayesian.sampler_base.UnitCubeSampler

sample(quiet: bool = False)

sample using the MultiNest numerical integration method

Returns

Return type

setup(n_live_points: int = 400, chain_name: str = 'chains/fit-', resume: bool = False, importance_nested_sampling: bool = False, auto_clean: bool = False, **kwargs)

Setup the MultiNest Sampler. For details see: https://github.com/farhanferoz/MultiNest

Parameters

• n_live_points – number of live points for the evaluation

• chain_name – the chain name

• importance_nested_sampling – use INS

• auto_clean – automatically remove multinest chains after run

Resume

resume from previous fit

Returns

Return type