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How to use a TfidfVectorizer model in real-time with endpoints

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During training, I created a TfidfVectorizer model and trained it to generate features from a database. How can I reuse this model to generate the representation of new texts, which will be classified by the endpoint?

Topics
Machine Learning & AI
Tags
Amazon SageMaker Data WranglerAmazon SageMaker Deployment
Language
English
rePost-User-5261877
asked 2 years ago474 views
1 Answer
0

You can try SageMaker Inference Pipeline, and add the TfidfVectorizer as a preprocessing step. Also take a look at this step-by-step blog example.

AWS
S Lyu
answered 2 years ago

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