cimod.model

`cimod.model`#

`BinaryPolynomialModel`(args, *kwargs)
`BinaryQuadraticModel`(linear, quadratic, args, *kwargs)
`make_BinaryPolynomialModel`(polynomial[, index_type, ...])	BinaryPolynomialModel factory.
`make_BinaryPolynomialModel_from_JSON`(obj)
`make_BinaryQuadraticModel`(linear, quadratic, sparse)	BinaryQuadraticModel factory.
`make_BinaryQuadraticModel_from_JSON`(obj)

cimod.model.BinaryQuadraticModel(linear, quadratic, *args, **kwargs)[source]#

cimod.model.make_BinaryPolynomialModel(polynomial, index_type=None, tuple_size=0)[source]#

BinaryPolynomialModel factory.: Generate BinaryPolynomialModel class with the base class specified by the arguments linear and quadratic

Parameters:: polynomial (dict) – polynomial bias including linear bias
Returns:: generated BinaryPolynomialModel class

cimod.model.make_BinaryQuadraticModel(linear, quadratic, sparse)[source]#

BinaryQuadraticModel factory.: Generate BinaryQuadraticModel class with the base class specified by the arguments linear and quadratic

Parameters:

linear (dict) – linear bias
quadratic (dict) – quadratic bias
sparse (bool) – if true, the inner data will be a sparse matrix, otherwise the data will be a dense matrix

Returns:

generated BinaryQuadraticModel class