twinlab.AcqFuncParams

class twinlab.AcqFuncParams(weights=None)

Parameter configuration for the acquisition function used in the Bayesian-optimisation routine.

Variables:

weights (Union[list[float], None], optional) – A list of weighting values that are used to scalarise the objective function in the case of a multi-output model. The default value is None, which applies equal weight to each output dimension.

__init__(weights=None)

Methods

__init__([weights])
unpack_parameters()