Model creation and inspection

Model(*args, **kwargs)	Encapsulates the variables and likelihood factors of a model.
modelcontext(model)	Return the given model or, if none was supplied, try to find one in the context stack.

Others

Deterministic(name, var[, model, dims])	Create a named deterministic variable.
Potential(name, var[, model, dims])	Add an arbitrary term to the model log-probability.
set_data(new_data[, model, coords])	Sets the value of one or more data container variables.
Point(*args[, filter_model_vars])	Build a point.
compile_fn(outs, *[, inputs, mode, ...])	Compiles an PyTensor function

Graph visualization

model_to_networkx([model, var_names, formatting])	Produce a networkx Digraph from a PyMC model.
model_to_graphviz([model, var_names, ...])	Produce a graphviz Digraph from a PyMC model.