CosmoFit.FitResult¶

class CosmoFit.FitResult(model, datasets=<factory>, free_params=<factory>, best_fit=None, mcmc=None)[source]¶

Bases: object

Everything a finished (or in-progress) fit produced, in one object: which model/datasets/parameters it is, the best-fit point (if best_fit() was called), and the MCMC posterior (if run_mcmc() was called).

Built on demand by Fitter.result – it is a read-only snapshot, not a live view, so it reflects whatever state the fitter was in when it was accessed.

Parameters:

model (str)
datasets (list)
free_params (list)
best_fit (BestFitResult | None)
mcmc (MCMCResult | None)

__init__(model, datasets=<factory>, free_params=<factory>, best_fit=None, mcmc=None)¶

Parameters:

model (str)
datasets (list)
free_params (list)
best_fit (BestFitResult | None)
mcmc (MCMCResult | None)

Return type:

None

Methods

`__init__`(model[, datasets, free_params, ...])
`load_json`(path)
`save_json`(path)	Serialize to JSON: model/dataset/parameter names, the best-fit point and chi2/AIC/BIC, and the MCMC posterior summary and convergence diagnostics.
`to_dict`()

Attributes

`best_fit`
`mcmc`
`model`
`datasets`
`free_params`