threeML.bayesian.dynesty_sampler module¶

class threeML.bayesian.dynesty_sampler.DynestyDynamicSampler(likelihood_model=None, data_list=None, **kwargs)[source]¶

sample(quiet=False)[source]¶

sample using the UltraNest numerical integration method :rtype:

setup(nlive_init=500, maxiter_init=None, maxcall_init=None, dlogz_init=0.01, logl_max_init=inf, n_effective_init=inf, nlive_batch=500, wt_function=None, wt_kwargs=None, maxiter_batch=None, maxcall_batch=None, maxiter=None, maxcall=None, maxbatch=None, n_effective=inf, stop_function=None, stop_kwargs=None, use_stop=True, save_bounds=True, print_func=None, live_points=None, bound='multi', wrapped_params=None, sample='auto', periodic=None, reflective=None, update_interval=None, first_update=None, npdim=None, rstate=None, use_pool=None, logl_args=None, logl_kwargs=None, ptform_args=None, ptform_kwargs=None, gradient=None, grad_args=None, grad_kwargs=None, compute_jac=False, enlarge=None, bootstrap=0, vol_dec=0.5, vol_check=2.0, walks=25, facc=0.5, slices=5, fmove=0.9, max_move=100, update_func=None, **kwargs)[source]¶

class threeML.bayesian.dynesty_sampler.DynestyNestedSampler(likelihood_model=None, data_list=None, **kwargs)[source]¶

sample(quiet=False)[source]¶

sample using the UltraNest numerical integration method :rtype:

setup(n_live_points=400, maxiter=None, maxcall=None, dlogz=None, logl_max=inf, n_effective=None, add_live=True, print_func=None, save_bounds=True, bound='multi', wrapped_params=None, sample='auto', periodic=None, reflective=None, update_interval=None, first_update=None, npdim=None, rstate=None, use_pool=None, live_points=None, logl_args=None, logl_kwargs=None, ptform_args=None, ptform_kwargs=None, gradient=None, grad_args=None, grad_kwargs=None, compute_jac=False, enlarge=None, bootstrap=0, vol_dec=0.5, vol_check=2.0, walks=25, facc=0.5, slices=5, fmove=0.9, max_move=100, update_func=None, **kwargs)[source]¶

class threeML.bayesian.dynesty_sampler.DynestyPool(dview)[source]¶

Bases: object

A simple wrapper for dview.