用Python开发一个自然语言处理模型（文档分类垃圾过滤），并用Flask进行部署。_Flask对外提供算法能力资源-CSDN文库

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Develop a NLP Model in Python &

Deploy It with Flask, Step byStep

Flask API, Document Classification,

SpamFilter

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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