Could you add early stopping in the forest-based estimators?
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Description
It's quite hard to guess the 'right' number of trees for a particular estimator, and a full-on hyperparameter search is quite expensive. Would be great to have an early stopping option, such as provided by most tree-based conventional ML models.
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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 the forest-based estimators in the EconML codebase and reviewing how they configure and fit their underlying tree models. Compare the requested early-stopping behavior with existing tree-based machine-learning models and determine which estimators and parameters should be covered. Done means the scope, stopping criteria, and expected behavior are implemented consistently and verified with relevant estimator tests.
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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
- Mostly clear
- Newbie friendliness
- 35/100