How to Test ML Code - ML 091
Published: October 20, 2022
How to Test ML Code - ML 091
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Show Notes
In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer...
- What are tests and why should you use them?
- What's the difference between unit tests and integration tests?
- What should you test?
- How should you write tests in python? (the answer is to use pytest)
Sponsors
- Top End Devs
- Coaching | Top End Devs
- Enov8, who provides test data management