Samples

Every sample of a model-fit and non-liner search are stored in a Samples object, which can be manipulated to inspect the results in detail (e.g. perform parameter estimation with errors).

For example, for an MCMC model-fit, the Samples objects contains every sample of walker.

Examples / Tutorials:

• readthedocs: example on using results.

• autofit_workspace: simple results tutorial

• autofit_workspace: complex result tutorial

• HowToFit: introduction chapter (detailed step-by-step examples)

Samples

Samples(model, sample_list[, samples_info])	Contains the samples of the non-linear search, including parameter values, log likelihoods, weights and other quantites.
SamplesPDF(model, sample_list[, samples_info])	Contains the samples of the non-linear search, including parameter values, log likelihoods, weights and other quantites.
SamplesMCMC(model, sample_list[, ...])	Contains the samples of the non-linear search, including parameter values, log likelihoods, weights and other quantites.
SamplesNest(model, sample_list[, samples_info])	Contains the samples of the non-linear search, including parameter values, log likelihoods, weights and other quantites.
SamplesStored(model, sample_list[, samples_info])	The Samples of a non-linear search, specifically the samples of a NonLinearSearch which maps out the posterior of parameter space and thus does provide information on parameter errors.