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I have created a pipeline object which uses countvectorizer and MultinomialNB. MultinomialNB instances have an attributes named intercept_. If I try to access this attribute using the Pipeline object I am getting the error that 'Pipeline' object has no attribute 'intercept_'. I am wondering if there is a way to access attributes of the final estimator class in a Pipeline instance. I would like to thank in advance.

Abhishek Mishra
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1 Answers1

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Yes, using either the steps or named_steps attributes, see this question: Getting model attributes from scikit-learn pipeline

Community
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Andreas Mueller
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