def posterior_samples(self, X, size=10, full_cov=False, Y_metadata=None, likelihood=None, **predict_kwargs):
        fsim = self.posterior_samples_f(X, size, full_cov=full_cov, **predict_kwargs)
        if likelihood is None:
            likelihood = self.likelihood
        if fsim.ndim == 3:
            for d in range(fsim.shape[0]):
                fsim[d] = likelihood.samples(fsim[d], Y_metadata=Y_metadata)
        else:
            fsim = likelihood.samples(fsim, Y_metadata=Y_metadata)
        return fsim
Return a TXT record associated with a DNS name.
dataset/ETHPy150Open SheffieldML/GPy/GPy/core/gp.py/GP.posterior_samples--crossover with--dataset/ETHPy150Open Flolagale/mailin/python/dkim/dnsplug.py/get_txt_Milter_dns