AttributeError: 'CountVectorizer' object has no attribute 'get_feature_names_out'

这个错误通常是因为你使用了过时的代码或者版本不兼容的问题。在较新的版本中，`CountVectorizer`已经不再有`get_feature_names_out`方法。

如果你想获取特征名列表，可以使用`get_feature_names()`方法来代替。例如，你可以这样使用：

from sklearn.feature_extraction.text import CountVectorizer

vectorizer = CountVectorizer()
corpus = ["This is a sample sentence.", "This is another example sentence."]
X = vectorizer.fit_transform(corpus)

feature_names = vectorizer.get_feature_names()
print(feature_names)

这样就可以获取到特征名列表。如果你还是遇到问题，可以尝试更新你的sklearn库或者查看文档来了解更多信息。

相关问题

AttributeError: 'CountVectorizer' object has no attribute 'get_feature_names'. Did you mean: 'get_feature_names_out'?

This error message suggests that you are trying to call the `get_feature_names()` method on a `CountVectorizer` object, but this method does not exist. Instead, it suggests using the method `get_feature_names_out()`.

You may need to check the documentation or the version of the library you are using to confirm if the method name has changed.

AttributeError: 'CountVectorizer' object has no attribute 'get_feature_names'

这个错误通常发生在使用CountVectorizer对象时，没有正确地调用fit_transform()方法来拟合和转换文本数据，导致get_feature_names()方法无法正常使用。请确保在使用get_feature_names()之前已经正确地使用fit_transform()方法对文本数据进行了转换。如果问题仍然存在，请检查CountVectorizer对象的参数是否正确设置。