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@JoyerJin JoyerJin commented Nov 6, 2025

Description

Mandatory Checklist

  • SHOULD update ChangeLog.md file(s) appropriately
    • Update src/{{SERVICE}}/{{SERVICE}}/ChangeLog.md.
      • A snippet outlining the change(s) made in the PR should be written under the ## Upcoming Release header in the past tense.
    • Should not change ChangeLog.md if no new release is required, such as fixing test case only.
  • SHOULD regenerate markdown help files if there is cmdlet API change. Instruction
  • SHOULD have proper test coverage for changes in pull request.
  • SHOULD NOT adjust version of module manually in pull request

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@JoyerJin JoyerJin marked this pull request as ready for review November 7, 2025 10:00
Copilot AI review requested due to automatic review settings November 7, 2025 10:00
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Pull Request Overview

This pull request migrates the MachineLearningServices module to AutoRest v4, which involves regenerating documentation and updating API references across numerous cmdlet help files. The changes primarily reflect the AutoRest v4 code generation updates, including parameter type changes from strongly-typed enums to strings and modifications to cmdlet examples and output formatting.

Key Changes:

  • Updated all cmdlet documentation files to reflect AutoRest v4 API schema changes
  • Converted strongly-typed enum parameters to string types across all cmdlets
  • Added new parameter sets and parameters for improved cmdlet flexibility (e.g., WorkspaceInputObject, JsonFilePath, JsonString)

Reviewed Changes

Copilot reviewed 199 out of 452 changed files in this pull request and generated no comments.

File Description
All Update-*.md files Updated parameter types from enums to strings, removed "To construct" notes, added new parameter sets
All New-*.md files Updated parameter types, added identity-based and JSON-based parameter sets, improved examples
All Remove-*.md files Added new identity-based parameter sets for improved pipeline support
All Start/Stop/Restart-*.md files Added workspace identity parameter sets for better workflow integration

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2 participants