Update demand forecasting setup for Azure Machine Learning SDK v2 and the relay

[MohamedZaki13]

Summary

Updates the Demand forecasting setup article for the Azure Machine Learning SDK v2 migration of the demand forecasting template. Azure Machine Learning SDK v1 (azureml-core) is being retired; the template now uses SDK v2 (azure-ai-ml) and adds a small relay (an Azure Function) so the Supply Chain Management connector keeps working. Companion to microsoft/Templates-For-Dynamics-365-Supply-Chain-Management-Demand-Forecasting-With-Azure-Machine-Learning#22.

Changes

• Added a deprecation note and an About the relay section that explains why the template now includes a relay Function (the connector speaks the v1 published-pipeline REST contract, which SDK v2 doesn't expose).
• Option 1 (script): updated the download list (now includes src/REntryScript/entry.py, src/REntryScript/forecast_entry.r, and the relay folder), documented the new quick_setup.ps1 parameters in a table, and noted that the script now also creates the service principal, deploys the relay, and prints the pipeline endpoint address. Removed the obsolete "upload to Notebooks / run api_trigger.py" steps, which no longer apply in SDK v2.
• Option 2 (manual): replaced "Step 5: Create pipelines" with Step 5: Deploy the relay (Azure CLI steps for the Function app, managed identity, role assignments, app settings, and remote-build deployment).
• Pipeline endpoint address field now points to the relay URL (printed by quick_setup.ps1, or constructed per the manual steps) instead of Pipelines > TriggerDemandForecastGeneration.
• Updated the GitHub repo link to its current name (Templates-For-...; the old URL permanently redirects to it).
• Bumped ms.date.

Existing setups that still use the v1 template continue to work, and the article calls this out.

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[MohamedZaki13]

the changes PR microsoft/Templates-For-Dynamics-365-Supply-Chain-Management-Demand-Forecasting-With-Azure-Machine-Learning#22
it needs to go in first