Source code for alf_core.optimizer.acquisition_function

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import abc

from alf_core.dataclasses import Candidate, LabelledCandidates, State


[docs] class AcquisitionFunction(abc.ABC): """Abstract base class for acquisition functions.""" @abc.abstractmethod def __call__( self, search_candidates: list[Candidate], state: State, ) -> LabelledCandidates: """Compute acquisition values for candidates and return them as LabelledCandidates. Args: search_candidates: List of unlabelled candidates to score. state: The task state containing the current datasets and surrogate model. Returns: Candidates paired with their acquisition values. """ pass