no categorical variables-->CausalAnalysis-categorical?
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 4.8k
- Forks
- 827
- PR merge metrics
- No merged PRs in 30d
Description
When I use the CausalAnalysis interpreter, unlike the example, there are no categorical variables in my data, so how do I handle the categorical parameter in CausalAnalysis interpreter?
AssertionError: categorical should be array-like, but got None
Contributor guide
No contributing guide indexed for this repository
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 CausalAnalysis interpreter and inspect how its categorical parameter is documented and validated when the data has no categorical variables. Reproduce the reported AssertionError, then clarify the supported input and expected handling in the relevant documentation or example.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100