acquisition.py 文件源码

def Entropy(self, tau, mean, std, sigman=1.0):
        """
        Predictive entropy acquisition function

        Parameters
        ----------
        tau: float
            Best observed function evaluation.
        mean: float
            Point mean of the posterior process.
        std: float
            Point std of the posterior process.
        sigman: float
            Noise variance

        Returns
        -------
        float:
            Predictive entropy.
        """
        sp2 = std **2 + sigman
        return 0.5 * np.log(2 * np.pi * np.e * sp2)