Better defaults for Metalearners
Open
@moprescu is already working on this.
Since Sep 23, 2020.
- Dominant language
- Jupyter Notebook
- Stars
- 4.8k
- Forks
- 827
- PR merge metrics
- No merged PRs in 30d
Description
The Metalearners classes (Tlearner, SLearner, XLearner) could benefit from better default models such as XGBoost or LightGBM models. This could be problematic since econml does not take a direct dependency on these packages and the user might not have them installed.
One idea is to have an auto option for these models that defaults to, say, XGBoost and then falls back to LightGBM and sklearn upon failure. The metalearners are guaranteed to eventually work since econml does take a dependency on sklearn.
Contributor guide
No contributing guide indexed for this repository
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.
Assessment
This issue has not been assessed yet.