Point

This structure is used to represent specific points in the search Space for Algorithm during the optimization process. It contains a specific Backdoor and Comparator rules. Each point can be assigned an appropriate fitness value (as part of the dictionary estimation).

class Point:
    def estimated() -> bool
    def value() -> Optional[float]
    def set(**estimation: Primitive) -> Point

The estimated method checks if a fitness value has been set and returns a boolean result.

The value method returns fitness value or None if it hasn’t already been set.

The set method sets the fitness value and the information accompanying its calculation, and returns self.

The instance of Point class can be created like this:

from core.model.point import Point

point = Point(
    backdoor: Backdoor,
    comparator: Comparator
)

Vector

A type to represent a list of points for the optimization algorithm.

from core.model.point import Vector
# it's only a type: Vector = List[Point]