Priors

The priors of parameters of every component of a mdoel, which is fitted to data, are customized using Prior objects.

Examples / Tutorials:

• Model API Cookbooks (recommended).

• readthedocs: example using Model object.

• readthedocs: example using Collection object.

• autofit_workspace: simple tutorial

• autofit_workspace: complex tutorial

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

Priors

UniformPrior([lower_limit, upper_limit, id_])	A prior with a uniform distribution, defined between a lower limit and upper limit.
GaussianPrior(mean, sigma[, lower_limit, ...])	A prior with a uniform distribution, defined between a lower limit and upper limit.
LogUniformPrior([lower_limit, upper_limit, id_])	A prior with a log base 10 uniform distribution, defined between a lower limit and upper limit.
LogGaussianPrior(mean, sigma[, lower_limit, ...])	A prior for a variable whose logarithm is gaussian distributed.