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2.1.0 Update

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@dtzar dtzar released this 22 Nov 19:04
· 113 commits to master since this release

There have been quite a few fixes and enhancements since the 2.0.0 release and want to summarize the changes here sorted by PR merge date.

Features:

  1. Add support for scoring image using Web App for containers #54 @sudivate
  2. Add support for Training R model code on ML Compute & Databricks #77 @eedorenko
  3. Upgrade build train CI to use new multi-stage pipelines #90 @dtzar
  4. Switch CI to use new Azure ML Agentless Task & improve/overhaul model evaluation, registration #101 @dtzar

Updates:

  1. Register to use newer sdk method #65 @jpe316
  2. Use Azure ML SDK more consistently #67 @tarockey
  3. badge to proper AzDO repo & better pipeline filters #81 @dtzar
  4. Enable App Insight by default on scoring image #86 @alla15747
  5. Newest Conda dependencies for scoring images and project #93 @dtzar
  6. Cleaner / Less variables including using AzDO variable template #99 @dariuszparys
  7. Tag models with experiment name, filter models in evaluation via experiment name #103 @dtzar

Doc Enhancements:

  1. Update to flow getting started #63 @omartin2010
  2. Better getting started clarity #82 @Smarker

Fixes:

  1. Authentication error fix #51 @eedorenko
  2. Doc: Code description spelling fix #59 @tarockey
  3. Doc: permissions fix #61 @sudivate
  4. Doc: Readme typo fix #62 @Anand372
  5. Doc: Fix typo #71 @Seddryck