nested - Nested sampling with bumps models

Sampler
main
put01

Run a bumps model using a nested sampler.

Currently only ultranest is supported, though it uses some functions from dynesty.

Usage:

pip install ultranest dynesty python -m bumps.nested –pars=model.par –export=results/path model.py

where model.par is the path to a par file exported from a bumps fit, and model.py is the script describing the model.

class bumps.nested.Sampler(problem, store)

Bases: object

corner(results)

get_param_names()

logl(x)

prior_transform(u)

results_df()

sample(verbose=True)

save_as_csv(results)

save_as_json(results)

save_bumps_pars(problem)

bumps.nested.main()

bumps.nested.put01(v, low, high)