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Lakehouse monitoring integration #156

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@s-udhaya s-udhaya commented May 3, 2024

This PR integrates lakehouse monitoring, with automatic retraining component into mlops-stack.

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Some initial comments, but thanks for doing this @s-udhaya !

@@ -143,6 +143,41 @@ Model validation contains three components:
To set up and enable model validation, update [validation.py](../validation/validation.py) to return desired custom metrics and validation thresholds, then
resolve the `TODOs` in the ModelValidation task of [model-workflow-resource.yml](./model-workflow-resource.yml).


### Setting up model monitoring
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Suggested change
### Setting up model monitoring
### Setting up Lakehouse monitoring

Change elsewhere too please to match our branding

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I understand we are still discussing on this internally. I will update this when we finalize the unified naming convention

- Minor readme changes
- Use dafault assets_dir path for monitoring
@s-udhaya s-udhaya force-pushed the lakehouse-monitoring-integration branch 5 times, most recently from ff13cdd to 37bf41b Compare May 16, 2024 10:12
- Accept inference table name from CLI
- Merge monitoring related resources into a single file
- Parametrize the metric and validation threshold
@s-udhaya s-udhaya force-pushed the lakehouse-monitoring-integration branch from 37bf41b to a7c882b Compare May 16, 2024 10:20
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