December 2020
Intermediate to advanced
216 pages
4h 17m
English
Content preview from Cloud Computing for Data Analysis
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158 Chapter 6: Serverless ETL Tenologies
Azure Flask Machine Learning Serverless
Could you do more than just run functions? Sure, in this example Github Repository³¹¹, you can
see how to Deploy a Flask Maine Learning Application on Azure App Services using Continuous
Delivery.
continuous-delivery
To run it locally, follow these steps
1. Create a virtual environment and source
1 python3 -m venv ~/.flask-ml-azure
2 source ~/.flask-ml-azure/bin/activate
2. Run make install
3. Run python app.py
4. In a separate shell run: ./make_prediction.sh
³¹¹https://github.com/noahgift/flask-ml-azure-serverless
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