hi all edward users.
someone give a example about ed.SGLD.
thanks.
x_prob = Beta(0.3, 1.0)
x = Bernoulli(probs=x_prob)
qx_prob = Empirical(params=tf.Variable(tf.zeros(10)))
inference = ed.SGLD({x_prob: qx_prob}, data={x: 1})
inference.run(n_steps=10)
samples = x_prob.sample(10).eval()
print("samples: " + str(samples))
params = qx_prob.params.eval()
print("params: " + str(params))
mean = qx_prob.mean().eval()
print("mean: " + str(mean))
it goes error!