Evidently is a Python library which to evaluate and monitory AI/ ML project. Evidently can be used to detect Drift in models seen over time.
Reports from running Evidently Metrics Cookbook gives a good feel of its capabilities and features. More to follow...
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| Fig 1: Drift Report | Fig 2: Generator Drift Report |
References
- https://www.nannyml.com/blog/monitoring-computer-vision
- https://www.labellerr.com/blog/computer-vision-data-drift/
- https://blog.roboflow.com/monitor-data-drift-computer-vision/
- https://www.nannyml.com/blog/monitoring-computer-vision
- https://nexla.com/ai-infrastructure/data-drift/
- https://cobusgreyling.medium.com/llm-drift-prompt-drift-chaining-cascading-fa8fbf67c0fd
- https://www.splunk.com/en_us/blog/learn/model-drift.html
- https://en.wikipedia.org/wiki/Concept_drift
- https://arize.com/model-drift/
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