How to resolve AttributeError in CountVectorizer object

What can cause the AttributeError in CountVectorizer object?

The error message "AttributeError: 'CountVectorizer' object has no attribute 'get_feature_names_out'" typically occurs due to...

Answer:

The error message "AttributeError: 'CountVectorizer' object has no attribute 'get_feature_names_out'" typically occurs when you are using an older version of the scikit-learn library.

When using an older version of the scikit-learn library, the method get_feature_names_out() might not be available, resulting in the AttributeError. It is important to update the scikit-learn library to resolve this issue.

The get_feature_names_out() method was introduced in scikit-learn version 0.24.2. If you are using a version older than this, updating scikit-learn to the latest version is necessary.

You can update scikit-learn by running the following command in your terminal or command prompt: pip install --upgrade scikit-learn. After updating, the get_feature_names_out() method will be available and the AttributeError should be resolved.

← Laser printer components exploring the major parts Creative way to initialize a vector in c →