threeML.bayesian.tutorial_material module

class threeML.bayesian.tutorial_material.BayesianAnalysisWrap(likelihood_model: astromodels.core.model.Model, data_list: threeML.data_list.DataList, **kwargs)

Bases: threeML.bayesian.bayesian_analysis.BayesianAnalysis

sample(*args, **kwargs)

sample the posterior of the model with the selected algorithm

If no algorithm as been set, then the configured default algorithm we default parameters will be run

Parameters

quiet – if True, then no output is displayed

Returns

threeML.bayesian.tutorial_material.array_to_cmap(values, cmap, use_log=False)

Generates a color map and color list that is normalized to the values in an array. Allows for adding a 3rd dimension onto a plot

Parameters

• values – a list a values to map into a cmap

• cmap – the mpl colormap to use

• use_log – if the mapping should be done in log space

threeML.bayesian.tutorial_material.get_bayesian_analysis_object_complex_likelihood()

threeML.bayesian.tutorial_material.get_bayesian_analysis_object_simple_likelihood()

threeML.bayesian.tutorial_material.plot_likelihood_function(bayes, fig=None, show_prior=False)

threeML.bayesian.tutorial_material.plot_sample_path(bayes, burn_in=None, truth=None)

Parameters

jl (JointLikelihood) –

Returns