inferlo.GenericGraphModel

class inferlo.GenericGraphModel

Graphical model in the most general form.

Explicitly specified by list of factors.

__init__(num_variables: int, domain=None)

Parameters:

• num_variables – Number of variables in the model.

• domain – Default domain of each variable.

Methods

__init__(num_variables[, domain])
add_factor(factor)	Adds factor.
copy()	Makes a copy of itself.
draw_factor_graph(ax)	Draws the factor graph.
evaluate(x)	Returns value of non-normalized pdf in point.
from_model(model)	Creates copy of a given model.
get_factor_graph()	Builds factor graph for the model.
get_factors()	Returns all factors.
get_max_domain_size()	Returns the biggest domain size over all variables.
get_symbolic_variables()	Prepares variables for usage in expressions.
get_variable(idx)	Returns variable by its index.
get_variables()	Returns all variables.
infer([algorithm])	Performs inference.
max_likelihood([algorithm])	Finds most probable state.
max_likelihood_bruteforce()	Evaluates most likely state in a very inefficient way.
part_func_bruteforce()	Evaluates partition function in very inefficient way.
sample(num_samples[, algorithm])	Generates samples.

add_factor(factor: Factor)

Adds factor.

copy()

Makes a copy of itself.

static from_model(model: GraphModel)

Creates copy of a given model.

get_factors() → Iterable[Factor]

Returns all factors.

infer(algorithm='auto', **kwargs)

Performs inference.

max_likelihood(algorithm='auto', **kwargs) → ndarray

Finds most probable state.