McmcSampler

class McmcSampler(model_minimizer)

Bases: object

Methods Summary

corner_plot([labels, quantiles, levels, ...])
get_par(p)
get_par_quantiles(p[, quantiles])
load(name)
plot_chain(p[, log_plot])
plot_model([sed_data, fit_range, size, ...])
plot_par(p[, nbins, log_plot, quantiles, ...])
reset_to_best_fit()
run_sampler([nwalkers, steps, pos, burnin, ...])
save(name)
show_pars()

Methods Documentation

corner_plot(labels=None, quantiles=(0.16, 0.5, 0.84), levels=None, title_kwargs={})

get_par(p)

get_par_quantiles(p, quantiles=(0.16, 0.5, 0.84))

classmethod load(name)

plot_chain(p, log_plot=False)

plot_model(sed_data=None, fit_range=None, size=100, frame='obs', density=False)

plot_par(p, nbins=20, log_plot=False, quantiles=(0.16, 0.5, 0.84), figsize=None)

reset_to_best_fit()

run_sampler(nwalkers=500, steps=100, pos=None, burnin=50, use_UL=False, bound=0.2, bound_rel=False, threads=None, walker_start_bound=0.002, use_labels_dict=None, loglog=False, progress='notebook')

save(name)

show_pars()