pymc-labs / pymc-labs/CausalPy
SC: add outputs
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outputs
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 115
- Avg merge
- 6d 1h
- Merged PRs (30d)
- 11
Description
Add the following metrics:
- Average Estimated Treatment Effect (ATT). The average lift in the treatment period. NOTE: I already did this here but I called it the average causal impact.
- Percent Lift
- Incremental outcome. The cumulative impact at the final time point
- Add these to the geolift notebook
Contributor guide
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 with the existing average causal impact implementation in the linked sc2_pymc notebook, then inspect the geolift notebook to identify where outputs are presented. Add ATT, percent lift, and incremental outcome metrics, and update the geolift notebook to show them; completion means all listed metrics are available and documented there.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- analytics, data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100