evaluation.py 文件源码

def _confidence_interval_by_alpha(cls, p_hat, n, alpha, method='wald'):
        """Compute confidence interval for estimate of Bernoulli parameter p.

        Args:
            p_hat: maximum likelihood estimate of p
            n: samples observed
            alpha: the probability that the true p falls outside the CI

        Returns:
            left, right
        """
        prob = 1 - 0.5 * alpha
        z = norm.ppf(prob)

        compute_ci = cls._confidence_interval_by_z_wald if method == 'wald' else cls._confidence_interval_by_z_wilson

        return compute_ci(p_hat, n, z)