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Testing ML systems
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Classroom Contents
Troubleshooting & Testing - FSDL 2022
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- 1 Overview
- 2 Testing software
- 3 Testing tools: pytest, doctests, codecov
- 4 Clean code tools: black, flake8, shellcheck
- 5 Automation
- 6 GitHub Actions for automation
- 7 Testing ML systems
- 8 Testing data
- 9 Testing training
- 10 Testing models
- 11 Test in production
- 12 The ML Test Score
- 13 Troubleshooting models
- 14 Troubleshooting performance
- 15 Outro
