Allowing humanization to make multiple outputs
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- Dominant language
- Python
- Stars
- 265
- Forks
- 65
- PR merge metrics
- No merged PRs in 30d
Description
Currently, the output of the humanization step returns a single fasta file. I would be interested in having the output have multiple sequences that are based on sampling from the output from the model.
I have a POC to do this in the cli, we could discuss what this would look like in the web client if needed.
Contributor guide
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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 reviewing the existing humanization step and the proof of concept in the CLI, then compare how the web client currently handles its single FASTA output. Define how sampling should produce multiple sequences and how both clients should expose them; the work is done when the agreed behavior is implemented and verified for both output paths.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cli, machine-learning, web-dev
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100