dimod.generators.uniform

uniform(graph: Union[int, Tuple[Collection[Hashable], Collection[Tuple[Hashable, Hashable]]], Collection[Tuple[Hashable, Hashable]], networkx.classes.graph.Graph], vartype: Union[dimod.vartypes.Vartype, str, frozenset], low: float = 0, high: float = 1, cls: None = None, seed: Optional[int] = None) → dimod.binary.binary_quadratic_model.BinaryQuadraticModel[source]

Generate a binary quadratic model with random biases and offset.

Biases and offset are drawn uniformly from a specified distribution range.

Parameters

  • graph – Graph to build the binary quadratic model (BQM) on. Either an integer n, interpreted as a complete graph of size n, a nodes/edges pair, a list of edges or a NetworkX graph.

  • vartype –

    Variable type for the BQM. Accepted input values:

  • low – Low end of the range for the random biases.

  • high – High end of the range for the random biases.

  • cls – Deprecated. Does nothing.

  • seed – Random seed.

Returns

A binary quadratic model.

Deprecated since version 0.10.13: The cls keyword argument will be removed in 0.12.0. It currently does nothing.