liesel.model.nodes

Nodes and variables.

Functions

obs(value[, distribution, name])	Helper function that returns an observed Var.
param(value[, distribution, name])	Helper function that returns a parameter Var.
add_group(name, **kwargs)	Assigns the nodes and variables to a group.

Classes

Calc(function, *inputs[, _name, ...])	A Node subclass that calculates its value based on its inputs nodes.
Data(value[, _name])	A Node subclass that holds constant values.
Dist(distribution, *inputs[, _name, _needs_seed])	A Node subclass that wraps a probability distribution.
Group(name, **nodes_and_vars)	A group holds a collection of related Var and/or Node objects.
InputGroup(*inputs[, _name, _needs_seed])	A node that groups its inputs for another node.
Node(*inputs[, _name, _needs_seed])	A node of a computational graph that can cache its value.
NodeState(value, outdated[, extra])	The state of a node.
TransientCalc(function, *inputs[, _name, ...])	A transient calculator node that does not cache its value.
TransientDist(distribution, *inputs[, ...])	A transient distribution node that does not cache its value.
TransientIdentity(_input[, _name])	A transient identity node that does not cache its value.
TransientNode(*inputs[, _name, _needs_seed])	A node that does not cache its value.
Var(value[, distribution, name])	A variable in a statistical model, typically with a probability distribution.