blackboxopt.utils

get_loss_vector(known_objectives, reported_objectives)

Convert reported objectives into a vector of known objectives.

Parameters:

Name	Type	Description	Default
known_objectives	Sequence[blackboxopt.base.Objective]	[description]	required
reported_objectives	Dict[str, Optional[float]]	[description]	required

Returns:

Type	Description
list	[description]

Source code in blackboxopt/utils.py

def get_loss_vector(
    known_objectives: Sequence[Objective],
    reported_objectives: Dict[str, Optional[float]],
) -> list:
    """Convert reported objectives into a vector of known objectives.

    Args:
        known_objectives: [description]
        reported_objectives: [description]

    Returns:
        [description]
    """
    losses = []
    for objective in known_objectives:
        objective_value = reported_objectives[objective.name]
        if objective_value is None:
            losses.append(float("NaN"))
        elif objective.greater_is_better:
            losses.append(-1.0 * objective_value)
        else:
            losses.append(objective_value)

    return losses