Machine Learning, Agile, Markov Chains, Bayesian Statistics, TensorFlow.
get_unnormalized_log_probability(data): def joined_probability(x, mu, sigma2): result = -(2.0+len(data))/2*tf.log(sigma2) - lamb * mu**2/2.0 -log_likelihood(x, mu, sigma2) #sigma2 for datum in data: result -= log_likelihood(float(datum), mu, sigma2) return result return joined_probability We want