1 | initial version |
This error can be resolved by ensuring that the CountVectorizer object has been fit with the data before calling the getfeaturenames() attribute.
For example, after creating a CountVectorizer object, the next step would typically be to fit it to the data using the fit_transform() method, like this:
cv = CountVectorizer()
doc_word_matrix = cv.fit_transform(documents)
Once the CountVectorizer has been fit to the data in this way, the getfeaturenames() attribute can then be called without issue:
feature_names = cv.get_feature_names()
If you try to call getfeaturenames() before fitting the CountVectorizer to the data, you will receive the "AttributeError: 'CountVectorizer' object lacks 'getfeaturenames' attribute" error.