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抽象采集函数

smac.acquisition.function.abstract_acquisition_function #

AbstractAcquisitionFunction #

AbstractAcquisitionFunction()

采集函数的抽象基类。

源代码位于 smac/acquisition/function/abstract_acquisition_function.py 
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def __init__(self) -> None:
    self._model: AbstractModel | None = None

meta 属性 #

meta: dict[str, Any]

返回创建对象的元数据。

model 属性 可写 #

model: AbstractModel | None

返回采集函数中使用的代理模型。

name 属性 #

name: str

返回采集函数的全名。

__call__ #

__call__(configurations: list[Configuration]) -> ndarray

计算给定配置的采集值。

参数#

configurations : list[Configuration] 需要评估采集函数的配置。

返回值#

np.ndarray [N, 1] X 的采集值

源代码位于 smac/acquisition/function/abstract_acquisition_function.py 
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def __call__(self, configurations: list[Configuration]) -> np.ndarray:
    """Compute the acquisition value for a given configuration.

    Parameters
    ----------
    configurations : list[Configuration]
        The configurations where the acquisition function should be evaluated.

    Returns
    -------
    np.ndarray [N, 1]
        Acquisition values for X
    """
    X = convert_configurations_to_array(configurations)
    if len(X.shape) == 1:
        X = X[np.newaxis, :]

    acq = self._compute(X)
    if np.any(np.isnan(acq)):
        idx = np.where(np.isnan(acq))[0]
        acq[idx, :] = -np.finfo(float).max

    return acq

update #

update(model: AbstractModel, **kwargs: Any) -> None

更新计算所需的采集函数属性。

该方法将在模型拟合后、采集函数最大化前被调用。例如，EI 使用它来更新当前的 fmin。默认实现仅更新采集函数中已存在的属性。

调用 _update 来更新采集函数属性。

参数#

model : AbstractModel 用于拟合数据的模型。 kwargs : Any 用于更新特定采集函数的附加参数。

源代码位于 smac/acquisition/function/abstract_acquisition_function.py 
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def update(self, model: AbstractModel, **kwargs: Any) -> None:
    """Update the acquisition function attributes required for calculation.

    This method will be called after fitting the model, but before maximizing the acquisition
    function. As an examples, EI uses it to update the current fmin. The default implementation only updates the
    attributes of the acquisition function which are already present.

    Calls `_update` to update the acquisition function attributes.

    Parameters
    ----------
    model : AbstractModel
        The model which was used to fit the data.
    kwargs : Any
        Additional arguments to update the specific acquisition function.
    """
    self.model = model
    self._update(**kwargs)