- bodywork-pipeline-with-aporia-monitoring VS evidently
- bodywork-pipeline-with-aporia-monitoring VS VevestaX
- bodywork-pipeline-with-aporia-monitoring VS bodywork-pymc3-project
- bodywork-pipeline-with-aporia-monitoring VS ML-Workspace
- bodywork-pipeline-with-aporia-monitoring VS ml-pipeline-engineering
- bodywork-pipeline-with-aporia-monitoring VS bodywork
- bodywork-pipeline-with-aporia-monitoring VS MLOps
- bodywork-pipeline-with-aporia-monitoring VS Realtime-MLOps
- bodywork-pipeline-with-aporia-monitoring VS Made-With-ML
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bodywork-pipeline-with-aporia-monitoring reviews and mentions
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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.
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bodywork-ml/bodywork-pipeline-with-aporia-monitoring is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of bodywork-pipeline-with-aporia-monitoring is Jupyter Notebook.
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