本文整理汇总了Python中Features.bagOfWordsSkLearn方法的典型用法代码示例。如果您正苦于以下问题：Python Features.bagOfWordsSkLearn方法的具体用法？Python Features.bagOfWordsSkLearn怎么用？Python Features.bagOfWordsSkLearn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Features的用法示例。
在下文中一共展示了Features.bagOfWordsSkLearn方法的2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: feat7
# 需要导入模块: import Features [as 别名]
# 或者: from Features import bagOfWordsSkLearn [as 别名]
def feat7(train, test):
# feature set 3
train_f5, test_f5 = feat5(train, test)
# punctuation
puncter, train_punct = Features.bagOfWordsSkLearn(train)
_, test_punct = Features.bagOfWordsSkLearn(test, vectorizer = puncter)
train_matrix = Features.append_features([train_f5, train_punct])
test_matrix = Features.append_features([test_f5, test_punct])
return train_matrix, test_matrix示例2: feat1
# 需要导入模块: import Features [as 别名]
# 或者: from Features import bagOfWordsSkLearn [as 别名]
def feat1(train, test):
# Bag of words
train_matrix = Features.bagOfWordsSkLearn(train)
test_matrix = Features.bagOfWordsSkLearn(test)
return train_matrix, test_matrix