Machine Learning, Python.
current state of the system. """ return np.random.choice( self.states, p=[self.transition_prob[current_state][next_state] for next_state in self.states] ) def generate_states(self, current_state, no=10): """ Generates the next states of the system. Parameters ---------- current_state: str The state