pytwinnet.optimization.pareto

Classes

MultiObjectiveSampler(sampler, evaluate[, ...])

Sample candidates, evaluate 2 objectives, and return Pareto set (maximize both).

class pytwinnet.optimization.pareto.MultiObjectiveSampler(sampler, evaluate, samples=200)

Bases: object

Sample candidates, evaluate 2 objectives, and return Pareto set (maximize both).

Parameters:

• sampler (Callable[[], Dict[str, Any]])

• evaluate (Callable[[Dict[str, Any]], Tuple[float, float]])

• samples (int)

evaluate: Callable[[Dict[str, Any]], Tuple[float, float]]

run()

Return type:

Dict[str, Any]

sampler: Callable[[], Dict[str, Any]]

samples: int = 200