greedy.sampler.SteepestDescentSolver.properties#

SteepestDescentSolver.properties = None[source]#

Values for parameters accepted by the sampling methods.

Examples

>>> from dwave.samplers import SteepestDescentSampler
>>> sampler = SteepestDescentSampler()
>>> sampler.properties.keys()
dict_keys(['initial_states_generators', 'large_sparse_opt_values'])