Support for binary treatment in deepIV
Open
Nobody has claimed this yet.
question
- Dominant language
- Jupyter Notebook
- Stars
- 4.8k
- Forks
- 827
- PR merge metrics
- No merged PRs in 30d
Description
As far as I can tell, the current implementation of DeepIV only supports continuous treatment. I might be missing something, but if not, I'm happy to add the feature.
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 files, tests, or entry points are named. Start by locating the existing DeepIV implementation and its tests, then compare how continuous treatment is handled with the requirements for binary treatment. Done means binary treatment is supported without regressing continuous treatment, with coverage for the new behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, machine-learning
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100