def predictive_quantiles(self, mu, var, quantiles, Y_metadata=None):
        """
        Get the "quantiles" of the binary labels (Bernoulli draws). all the
        quantiles must be either 0 or 1, since those are the only values the
        draw can take!
        """
        p = self.predictive_mean(mu, var)
        return [np.asarray(p>(q/100.), dtype=np.int32) for q in quantiles]
dataset/ETHPy150Open SheffieldML/GPy/GPy/likelihoods/bernoulli.py/Bernoulli.predictive_quantiles/original