Model Auto-Adjustment in an MLOps Pipeline

Sergio Virahonda

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5 May 2021CPOL2 min read

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In this article, we’ll implement automatic training.

Here we discuss the model creation, auto-adjustment and notifications of our CI/CD MLOps Pipeline.

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This article is part of the series 'Automatic Training, Testing, and Deployment of AI using CI/CD ◁ Prev View All Next ▷

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Sergio Virahonda

United States

Sergio Virahonda grew up in Venezuela where obtained a bachelor's degree in Telecommunications Engineering. He moved abroad 4 years ago and since then has been focused on building meaningful data science career. He's currently living in Argentina writing code as a freelance developer.