Orchestrates config based ML data pipeline for ML predictions & events
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hEdge is a complete IoT Platform built on top of edgex foundry leveraging its SDK that adds to its functionality so it is a self-sufficient IoT platform. One of the many functions that it adds is the machine learning capability that enables a non data-scientist persona to define ML model data configuration, train and deploy trained models to the edge. The deployed model then drives real-time prediction as well as event/alert generation at the edge. The platform also adds a concept of enriching machine data with context data so it can be leveraged for observability, ML or rule execution.
The source code for all images of hEdge can be found at: https://github.com/bmchelix/hedge
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Content type
Image
Digest
sha256:03e0dae6b…
Size
35 MB
Last updated
about 1 year ago
docker pull bmchelix/hedge-ml-broker