threeML.bayesian.tutorial_material module

class threeML.bayesian.tutorial_material.BayesianAnalysisWrap(likelihood_model: Model, data_list: DataList, **kwargs)[source]

Bases: BayesianAnalysis

sample(*args, **kwargs)[source]

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)[source]

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()[source]
threeML.bayesian.tutorial_material.get_bayesian_analysis_object_simple_likelihood()[source]
threeML.bayesian.tutorial_material.plot_likelihood_function(bayes, fig=None, show_prior=False)[source]
threeML.bayesian.tutorial_material.plot_sample_path(bayes, burn_in=None, truth=None)[source]
Parameters:

jl (JointLikelihood) –

Returns: