CountVectorizer in sklearn throws "AttributeError: 'numpy.ndarray' object has no attribute 'lower'" 0 Error: 'int' object has no attribute 'lower' - with regards to CountVectorizer and Pandas
06.05.2020 · AttributeError: 'int' object has no attribute 'lower' in TFIDF and CountVectorizer 2 Implementation of n-grams in python code for multi-class text classification
Error: 'int' object has no attribute 'lower' - with regards to CountVectorizer and Pandas . I have trouble applying CountVectorizer to an Excel imported dataset. I tried swapping all the integers in the data for a string, but CountVectorizer still registers integers.
如您所见,错误是AttributeError: 'int' object has no attribute 'lower',这意味着整数不能小写。它会在代码中的某个位置尝试将小写的小写对象变为小写,这是不可能的。 为什么会这样? CountVectorizer 构造函数的参数lowercase默认为True。
30.12.2018 · CountVectorizer constructor has parameter lowercase which is True by default. When you call .fit_transform() it tries to lower case your input that contains an integer. More specifically, in your input data, you have an item which is an integer object.
This parameter is ignored if vocabulary is not None. min_dffloat in range [0.0, 1.0] or int, default=1. When building the vocabulary ignore terms that have a ...
I have trouble applying CountVectorizer to an Excel imported dataset. I tried swapping all the integers in the data for a string, but CountVectorizer still ...
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