bodywork-pipeline-with-aporia-monitoring
MLOps
| bodywork-pipeline-with-aporia-monitoring | MLOps | |
|---|---|---|
| 1 | 1 | |
| 4 | 7 | |
| - | - | |
| 0.0 | 1.6 | |
| almost 2 years ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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bodywork-pipeline-with-aporia-monitoring
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Calling Aporia from Bodywork Pipelines to Monitor Models in Production
Monitoring models for drift and degradation is not easy - theoretically or practically. In this example project we show to outsource these problems to Aporia’s model monitoring platform, by using their Python client from within a Bodywork pipeline.
MLOps
What are some alternatives?
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ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
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