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 ...
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
24.06.2019 · I'm trying to apply a TF-IDF in a Pandas column data all_cols 0 who is your hero and why 1 what do you do to relax 2 this is a hero 4 how many hours of sleep do you get a night 5 de...
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。
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
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 ...
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.
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.