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Commits on Feb 18, 2021

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

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  satonaoki

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  771c8ef

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Commits on Jun 22, 2020

• Jitghosh/parallelbatchscore (#289)

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  jitghosh

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  bcdac5c

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Commits on Mar 16, 2020

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

  celaus

  authored
  1d2d773

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Commits on Mar 2, 2020

• Dataset versioning (#218)

  eedorenko

  authored
  466800e

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• Sudivate/environment (#217)

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  sudivate

  authored
  c773db9

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Commits on Feb 26, 2020

• Pipeline variables comments and clean up (#211)

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  jotaylo

  authored
  56eb992

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Commits on Feb 14, 2020

• Modified to use dataset and pipelinedata (#193)

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  GraemeMalcolm

  authored
  88636df

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Commits on Jan 29, 2020

• added toggle for evaluation step (#152)

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  sudivate

  authored
  b3d598e

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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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  65c0793

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Commits on Jan 13, 2020

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

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  eedorenko

  authored and

  jotaylo

  committed
  da60ab1

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Commits on Nov 21, 2019

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

  

  David Tesar

  authored and

  eedorenko

  committed
  969e6ca

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Commits on Nov 20, 2019

• cleaner variables (#99)

  

  dariuszparys

  authored and

  David Tesar

  committed
  1eb4a42

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Commits on Oct 15, 2019

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

  

  eedorenko

  authored and

  David Tesar

  committed
  d0a1e5b

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Commits on Sep 13, 2019

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

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  tarockey

  authored and

  eedorenko

  committed
  eceb936

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Commits on Aug 21, 2019

• added model version as variable

  sudivate

  committed
  9f0ba63

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Commits on Aug 16, 2019

• 2.0.0 (#50)

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  eedorenko

  authored and

  David Tesar

  committed
  41ea9b7

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