针对你提出的“nameerror: name 'countvectorizer' is not defined”问题,以下是几个可能的解决步骤和检查点: 检查是否已正确导入CountVectorizer类: CountVectorizer是scikit-learn库中的一个类,用于将文本数据转换为向量形式。如果你没有导入这个类,就会出现“未定义”的错误。确保你的代码中包含了正确的导入语句。正确...
需要帮助解决错误 NameError: name 'countVectorizer' is not defined in PyCharm我正在尝试从此源https://github.com/chdoig/pytexas2015-ml执行 FEATURE EXTRACTION 代码文件名:1-Feature_extraction.ipynbimport numpy as npimport pandas as pdtrain_data = pd.read_csv('labeledTrainData.tsv',sep='\t')prin...
HashingVectorizerandCountVectorizerare meant to do the same thing. Which is to convert a collection of text documents to amatrix of token occurrences. The difference is that HashingVectorizerdoes not store the resulting vocabulary (i.e. the unique tokens). With HashingVectorizer, each token directly...
Is this issue also requesting broad support for the CountVectorizer.transform() function when vocabulary has been defined at initialization and fit() has not been called? If so, then I can forsee one sticking point: duplicate terms in a vocabulary. As an example: >>> from sklearn.feature_ex...