Develop a NLP Model in Python &
Deploy It with Flask, Step byStep
Flask API, Document Classification,
SpamFilter
By far, we have developed many machine learning models, generated
numeric predictions on the testing data, and tested the results. And
we did everything offline. In reality, generating predictions is only
part of a machine learning project, although it is the most important
part in my opinion.
Considering a system using machine learning to detect spam SMS
text messages. Our ML systems workflow is like this: Train offline ->
Make model available as a service -> Predict online.
A classifier is trained offline with spam and non-spam messages.
The trained model is deployed as a service to serve users.
Susan Li
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Dec 17, 2018
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6 min read
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