Markov Chains, Computer Science, Programming, Probability, Problem Solving.
self.predictionNumericData = predData def get_average_predictor(self): self.avg_data = [] for i in range(len(self.numericData)): scores = [0 for i in range(len(self.scores))] for j in range(1, i + 1): for j in range(len(self.scores)): if j != len(self.scores)-1: a = self.scores[j] b =