Source code for desdeo.preference.base

from abc import ABC

import numpy as np

from desdeo.method.base import InteractiveMethod


[docs]class PreferenceInformation(ABC):

[docs]    def __init__(self, method: InteractiveMethod) -> None:
        self._method = method

[docs]    def _weights(self) -> np.ndarray:
        return np.array([1.] * self._method.problem.nof_objectives())

[docs]    def weights(self):
        """ Return weight vector corresponding to the given preference information
        """
        return self._weights()


[docs]class Direction(PreferenceInformation):

[docs]    def default_input(self) -> np.ndarray:
        return np.array([0.0] * len(self._method.problem.nadir))

[docs]    def check_input(self, data) -> str:
        return ""


[docs]class ReferencePoint(PreferenceInformation):

[docs]    def __init__(self, method: InteractiveMethod, reference_point=None) -> None:
        super().__init__(method)
        self._reference_point = reference_point

[docs]    def reference_point(self):
        """ Return reference point corresponding to the given preference information
        """
        return self._reference_point