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@dtzar
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@dtzar dtzar commented Nov 19, 2019

  • Triggers pipeline in new stage utilizing the Azure ML Agentless task
  • Separate train, evaluate, and registration pipeline steps
  • Option to validate if training run was registered in pipeline
  • Refactored/updated register & evaluation scripts
    • Utilize functions, remove all legacy json-based code
    • Ability to do local dev & remote compute
  • Switch to utilize tags versus run properties
  • Consistent tagging of BuildID from AzDO runs, helpful for Improve artifact end-to-end traceability #72
  • Switch build status badge to aidemos AzDO

PR #90 and this PR plus comments made on the below issues should resolve problems. If not, please file a new issue after trying to use these latest bits or comment on the below issues again.
closes #102
closes #100
closes #98
closes #92
closes #89
closes #85
closes #78

@dtzar dtzar marked this pull request as ready for review November 20, 2019 15:55
@dtzar dtzar requested a review from eedorenko November 20, 2019 15:55
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