oob_predict_interval: request to add functionality for prediction of out-of-bag confidence intervals
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Description
Thanks for the package! I was wondering if it would be possible to add a method to the econml.grf.CausalForest class, allowing for predicting confidence intervals in an out-of-bag fashion. Is there a reason that oob_predict_interval isn't available?
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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 locating econml.grf.CausalForest and reviewing its current prediction-related API. Clarify how out-of-bag confidence intervals should behave and what constitutes complete support for a new oob_predict_interval method before implementation.
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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