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@@ -132,6 +132,19 @@ For full usage instructions, run the script with the `-h` or `--help` flag:
feature sets, then train the models, then deploy it as an online serving function, and then close the loop with model monitoring.
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+ NetOps Demo: Predictive Network Operations/Telemetry |
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+ Open locally
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+ View on GitHub
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+ This demo demonstrates how to build an automated machine-learning (ML) pipeline for predicting network outages based on network-device telemetry, also known as Network Operations (NetOps).
+The demo implements feature engineering, model training, testing, inference, and model monitoring (with concept-drift detection).
+The demo uses a offline/real-time metrics simulator to generate semi-random network telemetry data that is used across the pipeline.
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+