How to estimate the causal effect？
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- Python
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Description
How to estimate the causal effect after generate a causal graph with the causal algorithm？
Is there some table or something like that？
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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
The issue names no files, tests, or entry points. Start by checking the repository’s existing documentation for causal graphs and causal-effect estimation, then define what guidance or table is missing; done means a clear, documented path from a generated causal graph to estimating a causal effect.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100