https://github.com/dataiku/dss-plugin-stress-test-center
Put your model through a battery of perturbation tests and see how it handles the unexpected.
https://github.com/dataiku/dss-plugin-stress-test-center
Last synced: 6 days ago
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Put your model through a battery of perturbation tests and see how it handles the unexpected.
- Host: GitHub
- URL: https://github.com/dataiku/dss-plugin-stress-test-center
- Owner: dataiku
- License: apache-2.0
- Created: 2021-04-30T13:42:00.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2025-03-13T15:59:06.000Z (about 1 year ago)
- Last Synced: 2025-03-13T16:35:09.150Z (about 1 year ago)
- Language: Python
- Size: 460 KB
- Stars: 0
- Watchers: 21
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
# Stress Test Center
You have just trained your ML model, performance on the test set is good, you might even start to believe in what it has learnt through some interpretability methods, but can you safely trust it will act as expected under any circumstances ?
Let’s put your model to a battery of tests and see how it handles the unexpected.