How to pass args to the fit function for nuisance models
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Read the DRLearner.fit implementation in econml/dr/_drlearner.py around line 458, then compare the LightGBM fit arguments linked in the issue. Determine how arguments could be passed to nuisance-model fit calls, and consider the requested behavior complete when users can supply arguments such as categorical_feature to those models.
Written by the indexing model from the issue text.
Description
There are models only accept certain arguments when calling to the fit function. One such example is the categorical_feature arguments in lightgbm. Econml doesn't seem to pass fit arguments to nuisance models (Cf: DRLearner.fit ). Is there a way to pass arguments to the fit functions of the nuisance models?
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