Published January 11, 2022
| Version cidr2022
Software
Open
schelterlabs/arguseyes
Creators
- 1. University of Amsterdam
- 2. ETH Zurich
Description
The idea of ArgusEyes is to use mlinspect to extract the intermediate results and their lineage from native ML pipelines, and enable a set of automated issue detection and data refinement techniques.
We provide a couple of example pipelines and configurations to showcase the usage of ArgusEyes (note that you can run mlflow ui --backend-store-uri ./mlruns from the project root to view the captured artifacts and issue detection results).
Furthermore, we setup an example project which demonstrates how to integrate ArgusEyes into a github CI workflow.
Files
arguseyes-cidr2022.zip
Files
(51.1 MB)
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md5:51710c630ecf091f6e822505d7ebe859
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Additional details
Identifiers
Related works
- Is referenced by
- Conference paper: https://www.cidrdb.org/cidr2022/papers/a1-schelter.pdf (URL)
- Video/Audio: https://www.youtube.com/watch?v=yhGQcTInEpw (URL)