Mixed data example
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enhancement
- Dominant language
- Python
- Stars
- 1.7k
- Forks
- 274
- PR merge metrics
- No merged PRs in 30d
Description
May I know if there are any examples of causal-learn usage on mixed data (categorical and continuous/ordinal)? This is supported in tetrad. Many thanks!
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
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Research direction
No files, tests, or entry points are named. Start by locating existing causal-learn usage examples and the entry points for categorical, continuous, and ordinal data. Done means a documented, runnable mixed-data example, or clarified scope if the feature is not currently supported.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100