Parameterize DBFS Directories
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 20/100
Research direction
Start by locating the examples that hardcode DBFS storage directories and identify how those paths are currently assembled. Clarify which parameters should control them and how callers provide them; done means the directories are configurable and separate runs can avoid collisions. No files or tests are named in the issue, and the requested approach remains unspecified.
Written by the indexing model from the issue text.
Description
Currently, all storage directories are hardcoded. I’d like to change these to parameters to avoid collisions.
I have it in work, are you accepting pull requests?
- Dominant language
- Python
- Stars
- 370
- Forks
- 132
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing 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.
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databricks/databricks-ml-examples#101 · 2 comments ·
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