dwave_networkx.markov_network¶

markov_network
(potentials)[source]¶ Creates a Markov Network from potentials.
A Markov Network is also knows as a Markov Random Field
Parameters: potentials (dict[tuple, dict]) – A dict where the keys are either nodes or edges and the values are a dictionary of potentials. The potential dict should map each possible assignment of the nodes/edges to their energy. Returns: MN – A markov network as a graph where each node/edge stores its potential dict as above. Return type: networkx.Graph
Examples
>>> potentials = {('a', 'b'): {(0, 0): 1, ... (0, 1): .5, ... (1, 0): .5, ... (1, 1): 2}} >>> MN = dnx.markov_network(potentials) >>> MN['a']['b']['potential'][(0, 0)] 1