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CI/CD for Machine learning models

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CI/CD for Machine learning models
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How to test ML models?
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542
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CC Attribution 2.0 Belgium:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
Giskard is an open source project that implements automatic tests for Machine Learning models. In this conference talk, we'll explain (1) why testing ML models is an open problem, (2) why testing ML models requires different tools compared with traditional software systems. We'll then explain, using concrete examples, how our Giskard project helps ML Engineers deploy their AI systems into production safely by (1) designing fairness & robustness tests and (2) integrating them in a CI/CD pipeline.