Machine Learning, Agile, Markov Chains, Bayesian Statistics, TensorFlow.
name='step_size', initializer=1e-1, use_resource=True, # For TFE compatibility. trainable=False) # Initialize the HMC transition kernel. hmc = tfp.mcmc.HamiltonianMonteCarlo( target_log_prob_fn=get_unnormalized_log_probability(data), num_leapfrog_steps=3, step_size=step_size,