dimod.reference.samplers.IdentitySampler.sample_ising¶
- IdentitySampler.sample_ising(h: Union[Mapping[Hashable, Union[float, numpy.floating, numpy.integer]], Sequence[Union[float, numpy.floating, numpy.integer]]], J: Mapping[Tuple[Hashable, Hashable], Union[float, numpy.floating, numpy.integer]], **parameters) dimod.sampleset.SampleSet [source]¶
Sample from an Ising model using the implemented sample method.
This method is inherited from the
Sampler
base class.Converts the Ising model into a
BinaryQuadraticModel
and then callssample()
.- Parameters
h – Linear biases of the Ising problem. If a list, indices are the variable labels.
J – Quadratic biases of the Ising problem.
**kwargs – See the implemented sampling for additional keyword definitions.
Returns: Samples from the Ising model.
See also