Dockerize your ML Models Data Science Summit.pptx

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This presentation discusses dockerizing machine learning models. It shows how an ML model in .pkl format can be served via an HTTP REST API using a WSGI HTTP server running in a container. The container also includes an HTTP server that connects to a database backend. A tunnel allows user requests to reach the container and interact with the ML model.

Technology

Dockerize your Machine Learning
models
Luis Beltrán luis@luisbeltran.mx
Researcher, Tomas Bata University in Zlín
www.dssconf.pl 03 grudnia 2021 PGE Narodowy + Online
ORGANIZATORZY:

ML Model
.pkl
HTTP REST API
WSGI HTTP Server
Container
Container
HTTP Server
Database
Backend
Machine Learning
Tunnel
User request
http://github.com/icebeam7

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www.dssconf.pl 03 grudnia 2021 PGE Narodowy + Online
ORGANIZATORZY:

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