Different features for model_y and model_t
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Description
Is it possible to use different features as inputs into model_y and model_t when using LinearDML?
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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 with the LinearDML API and its handling of model_y, model_t, and feature inputs. Determine whether separate feature sets are supported or require an API design change, then define documentation or tests that demonstrate the intended behavior.
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
- 25/100