threeML.bayesian.emcee_sampler module

class threeML.bayesian.emcee_sampler.EmceeSampler(likelihood_model=None, data_list=None, **kwargs)[source]

Bases: MCMCSampler

sample(quiet=False)[source]
setup(n_iterations: int, n_burn_in: int | None = None, n_walkers: int = 20, seed=None, **kwargs)[source]

TODO describe function

Parameters:

  • n_iterations (int) –

  • n_burn_in (Optional[int]) –

  • n_walkers (int) –

  • seed –

Returns: