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Story
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Resolution: Done
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Critical
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None
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5
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False
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-
False
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devel-ack, qa-ack
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None
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Testable
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No
-
-
-
-
-
-
-
No
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No
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N/A
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None
-
-
Pipeline runs are an essential part of the new data science functionality. They allow the user to perform experiments using their data science models. We need to document the following modules:
- Pipeline Runs - A conceptual overview of what they are
- Creating a pipeline run
- Updating a pipeline run
- Deleting a pipeline run
- Creating an experiment
- Updating an experiment
- Deleting an experiment
- Viewing pipeline runs
- Viewing experiments
There may be additional modules that we may have to cover here, or scope them for a future release. In addition, we might feel the need to modify the content listed above. It's open to changes.
For more information on the wireframe designs relating to pipeline runs, see https://www.sketch.com/s/6c72b6b2-2c32-45ff-b07c-381d9d8c8267/a/oYy9jLx
Use the left-arrow and right-arrow keys to scroll through the slides until you find the content on pipeline runs. In addition, the upstream ODH development server might contain some of the functionality: https://red.ht/rhods-eng-odh