Markov Chains, Probabilistic Models, Text Generation, Hidden Markov Models, Python.
the transition matrix. # Transition matrix A = np.array( [[0.6, 0.4, 0.0], [0.3, 0.5, 0.2], [0.1, 0.2, 0.7]] ) Now, the structure of the Markov chain is complete. Then, you can go on a random walk around the chain like below. # Random walk def random_walk(steps, start): n_steps = steps start_state