threeML.bayesian.dynesty_sampler module

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

Bases: UnitCubeSampler

sample(quiet: bool = False, **kwargs)[source]

Sample using the Dynestey DynamicNestedSampler class.

Parameters:

  • quiet (bool) – verbosity. Defaults to False.

  • kwargs (dict) – Additional keywords that get passed to the run_nested() function.

Return type:

Returns:

setup(nlive: int = 500, history_filename=None, **kwargs)[source]

Setup the Dynesty dynamic nested sampler. All available parameters can be found in the respective version of https://dynesty.readthedocs.io/en/v3.0.0/api.html#dynesty.dynesty.DynamicNestedSampler

Parameters:

  • nlive (int) – Number of live points used during the inital nested sampling run

  • history_filename (str) – Path to save the history. Defaults to None

  • kwargs (dict) – Additional keyword arguments - must be same name and type as paramters in constructor of the dynesty.DynamicNestedSampler class. Defaults to the values used by dynesty.

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

Bases: UnitCubeSampler

sample(quiet: bool = False, **kwargs)[source]

Sample using the Dynesty NestedSampler class

Parameters:

  • quiet (bool) – verbosity. Defaults to False.

  • kwargs (dict) – Additional keywords that get passed to the run_nested() function.

Return type:

Returns:

setup(nlive: int = 500, bound: Literal['multi', 'single', 'none', 'balls', 'cubes'] | None = 'multi', history_filename: str | None = None, **kwargs)[source]

Setup the Dynesty nested sampler. All available parameters can be found in the respective version of https://dynesty.readthedocs.io/en/v3.0.0/api.html#dynesty.dynesty.NestedSampler

Parameters:

  • nlive (int) – Number of live points. Defaults to 500.

  • bound – Method to approximately bound the prior using the current set of live points. Options are “multi”, “single”, “none”, “balls” or “cubes”. Defaults to “multi”.

  • history_filename (str) – Path to save the history. Defaults to None

  • kwargs (dict) – Additional keyword arguments - must be same name and type as paramters in constructor of the dynesty.NestedSampler class. Defaults to the values used by dynesty.

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

Bases: object

A simple wrapper for dview.

map(function, tasks)[source]
threeML.bayesian.dynesty_sampler.fill_docs(**kwargs)[source]