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1. Commits on Feb 18, 2021

   • fix TRAIN_SCRIPT_PATH value in .env.example (#348)

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     satonaoki

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2. Commits on Jun 22, 2020

   • Jitghosh/parallelbatchscore (#289)

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     jitghosh

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3. Commits on Mar 16, 2020

   • Add an env var flag to recreate AMLS Environment (#230)

     celaus

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4. Commits on Mar 2, 2020

   • Dataset versioning (#218)

     eedorenko

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   • Sudivate/environment (#217)

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     sudivate

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5. Commits on Feb 26, 2020

   • Pipeline variables comments and clean up (#211)

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     jotaylo

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6. Commits on Feb 14, 2020

   • Modified to use dataset and pipelinedata (#193)

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     GraemeMalcolm

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7. Commits on Jan 29, 2020

   • added toggle for evaluation step (#152)

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     sudivate

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8. Commits on Jan 25, 2020

   • Change folder structure to support several training pipelines and models (#147)

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     sbaidachni

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9. Commits on Jan 13, 2020

   • Use training data from a managed datasource (#134)

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     eedorenko

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     jotaylo

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10. Commits on Nov 21, 2019

    • Switch CI to use new AzureML agentless execution task (#101)

      

      David Tesar

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      eedorenko

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      969e6caView commit details

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11. Commits on Nov 20, 2019

    • cleaner variables (#99)

      

      dariuszparys

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      David Tesar

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12. Commits on Oct 15, 2019

    • Training a model with R on ML Compute and Databricks (#77)

      

      eedorenko

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      David Tesar

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13. Commits on Sep 13, 2019

    • Updated repo to use the SDK more consistently (#67)

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      tarockey

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      eedorenko

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14. Commits on Aug 21, 2019

    • added model version as variable

      sudivate

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15. Commits on Aug 16, 2019

    • 2.0.0 (#50)

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      eedorenko

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      David Tesar

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