threeML.bayesian.dynesty_sampler module

class threeML.bayesian.dynesty_sampler.DynestyDynamicSampler(likelihood_model=None, data_list=None, **kwargs)

Bases: UnitCubeSampler

sample(quiet=False)

sample using the UltraNest numerical integration method :rtype:

Returns:

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', 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, walks=25, facc=0.5, slices=5, fmove=0.9, max_move=100, update_func=None, **kwargs)

TODO describe function

Parameters:

• nlive_init –

• maxiter_init –

• maxcall_init –

• dlogz_init –

• logl_max_init –

• n_effective_init –

• nlive_batch –

• wt_function –

• wt_kwargs –

• maxiter_batch –

• maxcall_batch –

• maxiter –

• maxcall –

• maxbatch –

• n_effective –

• stop_function –

• stop_kwargs –

• use_stop –

• save_bounds –

• print_func –

• live_points –

• bound –

• sample –

• periodic –

• reflective –

• update_interval –

• first_update –

• npdim –

• rstate –

• use_pool –

• logl_args –

• logl_kwargs –

• ptform_args –

• ptform_kwargs –

• gradient –

• grad_args –

• grad_kwargs –

• compute_jac –

• enlarge –

• bootstrap –

• vol_dec –

• vol_check –

• walks –

• facc –

• slices –

• fmove –

• max_move –

• update_func –

Returns:

class threeML.bayesian.dynesty_sampler.DynestyNestedSampler(likelihood_model=None, data_list=None, **kwargs)

Bases: UnitCubeSampler

sample(quiet=False)

sample using the UltraNest numerical integration method :rtype:

Returns:

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', 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, walks=25, facc=0.5, slices=5, fmove=0.9, max_move=100, update_func=None, **kwargs)

TODO describe function

Parameters:

• n_live_points –

• maxiter –

• maxcall –

• dlogz –

• logl_max –

• n_effective –

• add_live –

• print_func –

• save_bounds –

• bound –

• sample –

• periodic –

• reflective –

• update_interval –

• first_update –

• npdim –

• rstate –

• use_pool –

• live_points –

• logl_args –

• logl_kwargs –

• ptform_args –

• ptform_kwargs –

• gradient –

• grad_args –

• grad_kwargs –

• compute_jac –

• enlarge –

• bootstrap –

• vol_dec –

• vol_check –

• walks –

• facc –

• slices –

• fmove –

• max_move –

• update_func –

Returns:

class threeML.bayesian.dynesty_sampler.DynestyPool(dview)

Bases: object

A simple wrapper for dview.

map(function, tasks)