Azure / Azure/MachineLearningNotebooks
Option to customize infolog for job generate statistical baseline forecast
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- Jupyter Notebook
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Description
We have an Azure ML demand forecasting pipeline integrated with D365F&O Master planning module. It appears that the infolog messages shown during a failure of statistical baseline generation is not informative at all to the user operating D365F&O.
Is it possible, as developers, to customize infolog messages based on the exceptions/logs thrown by the Azure ML pipeline? Essentially use Azure ML or some other tool during the process to add more information to the infolog message in D365F&O?
Demand forecasting setup [instructions](https://learn.microsoft.com/en-us/dynamics365/supply-chain/master-planning/demand-forecasting-setup)
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Research direction
Begin with the linked demand forecasting setup instructions and the Azure ML demand forecasting pipeline context described in the issue. Determine whether Azure ML exceptions or logs can be surfaced in the D365F&O infolog, and document the supported approach and resulting user-facing error information.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure
- Domain
- cloud, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100