microsoft / microsoft/dstoolkit-mlops-v2
Move settings to config.yaml
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- Dominant language
- Python
- Stars
- 33
- Forks
- 17
- PR merge metrics
- No merged PRs in 30d
Description
What do we think about moving some of the pipeline job settings to the config.yaml file?
# set pipeline level compute
pipeline_job.settings.default_compute = cluster_name
pipeline_job.settings.force_rerun = True
# set pipeline level datastore
pipeline_job.settings.default_datastore = "workspaceblobstore"
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating config.yaml and the code that assigns pipeline_job.settings.default_compute, force_rerun, and default_datastore. Determine which settings should be configurable and how existing pipeline configuration is loaded. Done means the desired settings and configuration behavior are agreed and reflected consistently in the relevant pipeline setup.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, python, yaml
- Domain
- cloud, devops, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100