How to use the alibi.explainers.anchor.anchor_base.AnchorBaseBeam.kl_bernoulli function in alibi

p
            Precision of candidate anchor
        level
            beta / nb of samples
        n_iter
            Number of iterations during lower bound update

        Returns
        -------
        Updated lower precision bound
        """
        um = p
        lm = max(min(1, p - np.sqrt(level / 2.)), 0)  # lower bound
        for j in range(1, n_iter):
            qm = (um + lm) / 2.
            if AnchorBaseBeam.kl_bernoulli(p, qm) > level:  # KL-divergence > threshold level
                lm = qm
            else:
                um = qm
        return lm

Precision of candidate anchor
        level
            beta / nb of samples
        n_iter
            Number of iterations during lower bound update

        Returns
        -------
        Updated upper precision bound
        """
        # TODO: where does 17x sampling come from?
        lm = p
        um = min(min(1, p + np.sqrt(level / 2.)), 1)
        for j in range(1, n_iter):
            qm = (um + lm) / 2.
            if AnchorBaseBeam.kl_bernoulli(p, qm) > level:
                um = qm
            else:
                lm = qm
        return um