neurop.Problem.ILPProblem

class neurop.Problem.ILPProblem(problem: Model, initializer=None)

Bases: BaseProblem

General integer linear programming (ILP) problem.

ILPs are defined by a set of (in)equality constraints and an objective function over integer variables. The ILP can be formulated using the optlang package.

__init__(problem: Model, initializer=None)

Initializes the ILP problem.

Parameters:

• problem (OptProblem) – the problem in optlang.Model format

• initializer (_type_, optional) – function to initialize the parameters of the problem. Defaults to None, which means that parameters will be randomly initialized.

Methods

__init__(problem[, initializer])	Initializes the ILP problem.
evaluate_constraints(params)	Evaluates the constraints of the problem for a given set of (binary) parameter values.
evaluate_objective(params)	Evaluates the objective function of the problem for a given set of (binary) parameter values.
supports_model(model_type)

Attributes

constraints
objective
variables

evaluate_constraints(params: ndarray) → Iterable[bool]

Evaluates the constraints of the problem for a given set of (binary) parameter values.

evaluate_objective(params: ndarray) → float

Evaluates the objective function of the problem for a given set of (binary) parameter values.