class boa.instantiation_base.BoaInstantiationBase

Bases: InstantiationBase

classmethod make_optimization_config(objectives: dict, objective_thresholds: Optional[list[str]] = None, outcome_constraints: Optional[list[str]] = None, status_quo_defined: bool = False, weights: Optional[list[float]] = None, minimize: Optional[bool] = None, **kwargs)

Parameters:

• objectives (dict) –

• objective_thresholds (Optional[list[str]]) –

• outcome_constraints (Optional[list[str]]) –

• status_quo_defined (bool) –

• weights (Optional[list[float]]) –

• minimize (Optional[bool]) –

classmethod get_metric_from_obj_config(metric_opts, **kwargs)

classmethod get_metrics_from_obj_config(objectives, info_only=False, **kwargs)

classmethod make_objectives(objectives: dict, weights: Optional[list[float]] = None, minimize: Optional[bool] = None, **kwargs) → list[ax.core.objective.Objective]

Parameters:

• objectives (dict) –

• weights (Optional[list[float]]) –

• minimize (Optional[bool]) –

Return type:

list[ax.core.objective.Objective]