def getTrainAdaboostInfo(): """ 获取训练算法阶段的DS和minErrorRate信息 :return: """ trainDS = np.loadtxt('trainDS.txt', delimiter='\t') trainMinErrorRate = np.loadtxt('trainMinErrorRate.txt', delimiter='\t') vocabularyList = boostNaiveBayes.getVocabularyList('vocabularyList.txt') pWordsSpamicity = np.loadtxt('pWordsSpamicity.txt', delimiter='\t') pWordsHealthy = np.loadtxt('pWordsHealthy.txt', delimiter='\t') pSpam = np.loadtxt('pSpam.txt', delimiter='\t') return vocabularyList, pWordsSpamicity, pWordsHealthy, pSpam, trainMinErrorRate, trainDS