本文整理汇总了Python中Message.Message.createBulk方法的典型用法代码示例。如果您正苦于以下问题：Python Message.createBulk方法的具体用法？Python Message.createBulk怎么用？Python Message.createBulk使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Message.Message的用法示例。
在下文中一共展示了Message.createBulk方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: buildDataSets
# 需要导入模块: from Message import Message [as 别名]
# 或者: from Message.Message import createBulk [as 别名]
def buildDataSets():
# Build file lists.
full_ham_training_files = os.listdir(HAM_TRAINING_PATH)
ham_training_files = full_ham_training_files[:len(full_ham_training_files) / 2]
ham_tuning_files = full_ham_training_files[len(full_ham_training_files) / 2:]
# hack to increase training set at expense of tuning set.
h2 = ham_tuning_files[:len(ham_tuning_files) / 2]
ham_tuning_files = ham_tuning_files[len(ham_tuning_files) / 2:]
ham_training_files += h2
full_spam_training_files = os.listdir(SPAM_TRAINING_PATH)
spam_training_files = full_spam_training_files[:len(full_spam_training_files) / 2]
spam_tuning_files = full_spam_training_files[len(full_spam_training_files) / 2:]
# hack to increase training set at expense of tuning set.
s2 = spam_tuning_files[:len(spam_tuning_files) / 2]
spam_tuning_files = spam_tuning_files[len(spam_tuning_files) / 2:]
spam_training_files += s2
# Build data sets.
training_data = Message.createBulk(HAM_TRAINING_PATH, ham_training_files) + Message.createBulk(SPAM_TRAINING_PATH, spam_training_files)
tuning_data = Message.createBulk(HAM_TRAINING_PATH, ham_tuning_files) + Message.createBulk(SPAM_TRAINING_PATH, spam_tuning_files)
test_data = Message.createBulk(HAM_TESTING_PATH, os.listdir(HAM_TESTING_PATH)) + Message.createBulk(SPAM_TESTING_PATH, os.listdir(SPAM_TESTING_PATH))
# Calculate prior spam probability (% of training set that is spam).
priorSpam = float(len(full_spam_training_files)) / (len(full_ham_training_files) + len(full_spam_training_files))
return (training_data, tuning_data, test_data, priorSpam)