pmrf.fitting

The fitting module, with built-in fitting algorithms and results

Fitters

pmrf.fitting.fitters.ScipyMinimizeFitter(...)	Scipy fitter using scipy.minimize.
pmrf.fitting.fitters.PolychordFitter(model, ...)	Polychord fitter using pypolychord.run.
pmrf.fitting.fitters.dyPolychordFitter(...)	dyPolychord fitter using dyPolyChord.run_dypolychord.
pmrf.fitting.fitters.BlackjaxNSFitter(model, ...)	A fitter that uses the blackjax nested slice sampler in blackjax.nss.
pmrf.fitting.fitters.NumPyroMCMCFitter(...)	NumPyro fitter using numpyro.infer.MCMC.

Results

pmrf.fitting.results.ScipyMinimizeResults([...])
pmrf.fitting.results.AnestheticResults([...])
pmrf.fitting.results.NumPyroResults([...])

Bases

pmrf.fitting.BaseFitter(model, measured[, ...])	An abstract base class that provides the foundation for all fitting algorithms in pmrf.
pmrf.fitting.FrequentistFitter(model, measured)	A base class for frequentist (classical) optimization methods.
pmrf.fitting.BayesianFitter(model, measured)	A base class for Bayesian fitting methods.
pmrf.fitting.FitResults([measured, ...])
pmrf.fitting.FrequentistResults([measured, ...])
pmrf.fitting.BayesianResults([measured, ...])