Get Treatment Decisions From Covariates
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Description
Is there a method for predicting optimal treatments based on an unseen dataset of covariates? Is there a valid way to choose an optimal treatment for an individual record?
If it makes a difference, I am using multiple treatments (3)
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
No file, test, or entry point is named. First clarify whether this requests documentation or a new capability for selecting among three treatments, then define the expected inputs, outputs, and validation criteria for unseen covariates.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100