Markov Chains, Computer Science, Programming, Probability, Problem Solving.
choice = random.choices(population=self.states, weights=self.state_possibilities[state_next]) state_next = choice[0] chainList.append(state_next) self.chainList = chainList return self.chainList def countDictScores(self): self.countsScores = {} for state in self.states: self.countsScores[state] =