Hidden Markov Models, Statistics, Data Science, Machine Learning, Editors Pick.
# Fail OK Perfect # tired 0.3 0.5 0.2 # happy 0.1 0.5 0.4 observation_probability_matrix = np.array([[0.3, 0.5, 0.2], [0.1, 0.5, 0.4]]) model.emissionprob_ = observation_probability_matrix print("Step 3. Complete - Defined Observation Probability Matrix") # simulate performing 100,000 trials, i.e.,