How to build an API for a machine learning model in 5 minutes using Flask

 By KDnuggets - 2021-01-05

Description

Flask is a micro web framework written in Python. It can create a REST API that allows you to send data, and receive a prediction as a response.

Summary

  • As a data scientist consultant, I want to make impact with my machine learning models.
  • Once you’ve got a full understanding of what data you’re dealing with and have aligned with the client on what steps to take, one of the outcomes can be to create a predictive model.
  • Create your model Let me show you how this works.
  • Request predictions Predictions are made by passing a POST JSON request to the created Flask web server which is on port 5000 by default.

 

Topics

  1. Backend (0.31)
  2. Machine_Learning (0.15)
  3. Frontend (0.14)

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