LogInfo#

class ioh.iohcpp.LogInfo(self: ioh.iohcpp.LogInfo, evaluations: int, raw_y: float, raw_y_best: float, transformed_y: float, transformed_y_best: float, y: float, y_best: float, x: List[float], violations: List[float], penalties: List[float], optimum: ioh.iohcpp.RealSolution, has_improved: bool = False)#

Bases: pybind11_object

LogInfo struct. Gets passed to the call method of a logger when it is invoked.

Parameters:

  • evaluations (int) – The current number of evaluations

  • y_best (float) – The raw current fitness value

  • raw_y_best (float) – The raw current best fitness value

  • transformed_y (float) – The transformed current fitness value

  • transformed_y_best (float) – The transformed current best fitness value

  • y (float) – The transformed current fitness value with constraints applied

  • y_best – The transformed current best fitness value with constraints applied

  • x (np.npdarray | list) – The current solution passed to problem

  • violation (np.npdarray | list) – The current solution constraint violations

  • penalties (np.npdarray | list) – The current solution constraint penalties

  • optimum (Solution) – The optimum solution for the problem

  • has_improved (bool = True) – Whether the evaluation has caused an improvement in the objective value

Attributes Summary

evaluations

The number of function evaluations performed on the current problem so far

has_improved

Whether the last call to problem has caused global improvement.

objective

The best possible fitness value

penalties

raw_y

raw_y_best

transformed_y

transformed_y_best

violations

x

y

y_best

Attributes Documentation

evaluations#

The number of function evaluations performed on the current problem so far

has_improved#

Whether the last call to problem has caused global improvement.

objective#

The best possible fitness value

penalties#
raw_y#
raw_y_best#
transformed_y#
transformed_y_best#
violations#
x#
y#
y_best#