Modelling binomial response
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Description
I am interested in modelling a binomial outcome (e.g. change in conversion rate when a given treatment is present). In particular, in my setting this rate is usually quite low (0.5% to 5%).
From what I have seen in the documentation and the examples, the outcome is usually supposed to be a continuous variable. Is there any good way to model it if it is a binomial variable, e.g. if y is a vector of (trials, successes) ?
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Research direction
Start by reviewing the existing EconML documentation and examples for outcome variables and treatment-effect models. Determine whether binomial outcomes represented as (trials, successes) are supported; done would require a clearly documented modeling approach or a defined feature proposal for this input.
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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
- Needs clarification
- Newbie friendliness
- 25/100