threeML.config.fitting_structure module

class threeML.config.fitting_structure.BayesianDefault(use_median_fit: bool = False, default_sampler: threeML.config.fitting_structure.Sampler = <Sampler.emcee: 'emcee'>, emcee_setup: Optional[Dict[str, Any]] = <factory>, multinest_setup: Optional[Dict[str, Any]] = <factory>, ultranest_setup: Optional[Dict[str, Any]] = <factory>, zeus_setup: Optional[Dict[str, Any]] = <factory>, dynesty_nested_setup: Optional[Dict[str, Any]] = <factory>, dynesty_dynmaic_setup: Optional[Dict[str, Any]] = <factory>, corner_style: threeML.config.plotting_structure.CornerStyle = <factory>)

Bases: object

corner_style: CornerStyle

default_sampler: Sampler = 'emcee'

dynesty_dynmaic_setup: Dict[str, Any] | None

dynesty_nested_setup: Dict[str, Any] | None

emcee_setup: Dict[str, Any] | None

multinest_setup: Dict[str, Any] | None

ultranest_setup: Dict[str, Any] | None

use_median_fit: bool = False

zeus_setup: Dict[str, Any] | None

class threeML.config.fitting_structure.MLEDefault(default_minimizer: threeML.config.fitting_structure.Optimizer = <Optimizer.minuit: 'minuit'>, default_minimizer_algorithm: Optional[str] = None, default_minimizer_callback: Optional[str] = None, contour_cmap: threeML.config.plotting_structure.MPLCmap = <MPLCmap.Pastel1: 'Pastel1'>, contour_background: str = 'white', contour_level_1: str = '#ffa372', contour_level_2: str = '#ed6663', contour_level_3: str = '#0f4c81', profile_color: str = 'k', profile_level_1: str = '#ffa372', profile_level_2: str = '#ed6663', profile_level_3: str = '#0f4c81')

Bases: object

contour_background: str = 'white'

contour_cmap: MPLCmap = 'Pastel1'

contour_level_1: str = '#ffa372'

contour_level_2: str = '#ed6663'

contour_level_3: str = '#0f4c81'

default_minimizer: Optimizer = 'minuit'

default_minimizer_algorithm: str | None = None

default_minimizer_callback: str | None = None

profile_color: str = 'k'

profile_level_1: str = '#ffa372'

profile_level_2: str = '#ed6663'

profile_level_3: str = '#0f4c81'

class threeML.config.fitting_structure.Optimizer(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

ROOT = 'ROOT'

minuit = 'minuit'

scipy = 'scipy'

class threeML.config.fitting_structure.Sampler(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

autoemcee = 'autoemcee'

dynesty_dynamic = 'dynesty_dynamic'

dynesty_nested = 'dynesty_nested'

emcee = 'emcee'

multinest = 'multinest'

ultranest = 'ultranest'

zeus = 'zeus'