Enable Discrete Outcomes w/ RScorer

[jakepenzak]

Motivation:

• To enable usage of RScorer class for scoring and model ensembling in the presence of discrete outcomes

Implementation:

• Add discrete_outcome attribute to RScorer class and pass to LinearDML in RScorer.fit() method

File modifications:

• econml/score/rscorer.py - Added discrete_outcome attribute
• econml/tests/test_rscorer.py - Added test case for discrete outcomes and CATEs that take probabilistic form

[fverac]

Code looks ready to merge.

The DCO check is failing though, which probably means you'll have to rebase the branch. Can you follow the instructions here?
https://github.com/py-why/EconML/pull/927/checks?check_run_id=33428718307

[jakepenzak]

Code looks ready to merge.

The DCO check is failing though, which probably means you'll have to rebase the branch. Can you follow the instructions here? https://github.com/py-why/EconML/pull/927/checks?check_run_id=33428718307

Done.

Thanks for the reviewing this PR 🤜 🤛

[fverac]

Hm seems like we're not done yet.

Says the branch is out-of-date with main. I think the problem is that in the current rebase there is a commit that merged in some updates from main ("pre commit autoupdate"), and git is not liking that.

Instead, can you update your local main branch and rebase from there?

[jakepenzak]

Hm seems like we're not done yet.

Says the branch is out-of-date with main. I think the problem is that in the current rebase there is a commit that merged in some updates from main ("pre commit autoupdate"), and git is not liking that.

Instead, can you update your local main branch and rebase from there?

Ah yes, I missed that on my end. I believe everything should be good to go from here.

[fverac]

Merging now, thanks for the contribution!