Pipeline framework
Open
Nobody has claimed this yet.
needs discussion
question
- Dominant language
- Jupyter Notebook
- Stars
- 12
- Forks
- 18
- PR merge metrics
- No merged PRs in 30d
Description
We need to come up with a framework similar to scikit-learn's pipelines to facilitate numerous sequential operations or parallel (e.g. - exploration of a parameter space) operations.
Contributor guide
No contributing guide indexed for this repository
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
No file, test, or entry point is named. Start by surveying the repository's Python modules and existing processing abstractions, then compare the requested sequential and parallel workflows with scikit-learn's pipeline model. Done would require an agreed design and implementation scope for both operation modes, but the issue does not define those details.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, scikit-learn
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100