parameters (pmrf.parameters)

Parameter factories, converters, and field specifiers.

Most of these are re-exported at root.

Builds on top of Parax.

Classes

Param(*[, value, distribution, constraint, ...])

The canonical parameter container for ParamRF.

Functions

is_param(x)	Returns if x is an instance of pmrf.Param.
as_param([value, constraint, scale, ...])	Coerces a value into a parameter.
param(*, default, as_free, as_fixed, ...)	A field specifier for registering parameters within a model.
Fixed(value, *[, name, scale, metadata])	Create a fixed parameter.
Unconstrained(value, *[, fixed, scale, ...])	Create an unconstrained free parameter.
Bounded(lower, upper, *[, value, fixed, ...])	Create a free parameter constrained within a specific interval.
Constrained(constraint, value, *[, fixed, ...])	Create a free parameter constrained to a specific domain.
Random(distribution, *[, constraint, value, ...])	Create a free parameter with an associated probability distribution.
params(tree[, where, free_only])	Returns the parameters of a model, or any collection of models, by name.
values(tree[, where, free_only, space])	Returns the values of a model's parameters by name, in one space.
log_prior(tree, *[, space])	Returns the log prior density of a model's parameters, in one space.
update(tree, selection, node, /, *, value, ...)	Returns a copy of a model with the parts a selector picks replaced.
tie(tree, target, ~typing.Any], source, ...)	Returns a copy of a model in which one part is derived from another.
resolve(tree)	Returns a copy of a tree with its ties applied and its parameters left intact.
prior(tree, names, distribution[, space, ...])	Returns a copy of a model with a prior attached to the parameters names selects.