How to Test ML Code - ML 091

In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer...

1. What are tests and why should you use them?
2. What's the difference between unit tests and integration tests?
3. What should you test?
4. 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

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