neurop.base.BaseCompiler

class neurop.base.BaseCompiler(problem: BaseProblem, modelType: type, backend: BaseBackend = None, expansion=None)

Bases: object

Base-class for compilers that can convert optimization problems to models and compile models to a specific backend.

__init__(problem: BaseProblem, modelType: type, backend: BaseBackend = None, expansion=None) → None

Methods

__init__(problem, modelType[, backend, ...])
compile()	Exports the problem into the given model type, respecting the backend, if given.
model_to_problem_parameters(params)	Converts the model parameters to problem parameters.
problem_to_model_parameters(params)	Converts the problem parameters to model parameters.

compile() → BaseModel

Exports the problem into the given model type, respecting the backend, if given.

model_to_problem_parameters(params)

Converts the model parameters to problem parameters.

problem_to_model_parameters(params)

Converts the problem parameters to model parameters.