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