dimod.binary.BinaryQuadraticModel.from_numpy_vectors

classmethod BinaryQuadraticModel.from_numpy_vectors(linear: ArrayLike, quadratic: ArrayLike, offset: float, vartype: ~dimod.vartypes.Vartype, *, variable_order: ~typing.Iterable = None, dtype: DTypeLike = <class 'numpy.float64'>) → BinaryQuadraticModel

Create a binary quadratic model from NumPy vectors.

Parameters:

• linear – Linear biases.

• quadratic – Quadratic biases.

• offset – Offset of the binary quadratic model.

• vartype –

  Variable type for the binary quadratic model. Accepted input values:

  • SPIN, 'SPIN', {-1, 1}

  • BINARY, 'BINARY', {0, 1}

• variable_order – Variable order for the binary quadratic model’s labels.

• dtype – Data type for the returned binary quadratic model.

Returns:

A binary quadratic model.

Examples

>>> import numpy as np
>>> linear = np.ones(10)
>>> quadratic = (np.arange(0, 10), np.arange(1, 11), -np.ones(10))
>>> bqm = dimod.BQM.from_numpy_vectors(linear, quadratic, 0, "BINARY")