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  1. Red Hat OpenShift Data Science
  2. RHODS-7774

Write a working sample that is better representative of ML workflow for DSPA

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    • ML Ops Sprint 1.26

      Currently we have been using the flip-coin example. troyer@redhat.com has working examples that are better indicative of actual ml workflows that we should incorporate, or provide as sample pipelines for both devs and users.

      This ticket should also figure out where these samples and the documentation for how to leverage these must reside.

      Trevor's demo: https://drive.google.com/file/d/14c5lmkdEUHN7r4QFoyoCluUqwQQFZkWK/view

        1. dspa-minio-sample-pipeline-disabled.yaml
          0.4 kB
          Jorge Garcia Oncins
        2. dspa-minio-sample-pipeline-enabled.yaml
          0.4 kB
          Jorge Garcia Oncins
        3. iris-pipeline-af5bd.log
          5 kB
          Jorge Garcia Oncins
        4. screenshot-1.png
          167 kB
          Greg Sheremeta

              gfrasca-1 Giulio Frasca
              humairkhan Humair Khan
              Jorge Garcia Oncins Jorge Garcia Oncins
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                Updated:
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