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feat(components): [AWS SageMaker] Minimize inputs for mnist classification pipeline #4192

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merged 8 commits into from
Jul 17, 2020

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surajkota
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@surajkota surajkota commented Jul 9, 2020

Description of your changes:

  • Minimize inputs for mnist classification pipeline - remove unused inputs and inputs with default values for better user experience
  • Bug fixes
    • To processing component, current pipeline on master fails at batch transform
    • Script used for prediction had missing imports and reference to dataset section which is not present anymore
  • Updates to documentation and fixes
  • Made s3 bucket as runtime input rather than compile time - easy for customer and to add integration tests

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Additional fields we can cut down

@RedbackThomson
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/approve

@RedbackThomson
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/approve
/lgtm

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: RedbackThomson

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@k8s-ci-robot k8s-ci-robot merged commit 6860681 into kubeflow:master Jul 17, 2020
Jeffwan pushed a commit to Jeffwan/pipelines that referenced this pull request Dec 9, 2020
…ation pipeline (kubeflow#4192)

* minimize parameters and bug fixes

* endpoint_name variable fix

* only add necessary inputs

* remove run_time

* trim down v2

* Update example with S3 bucket as runtime input

* nit fix

* fix variable names
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7 participants