Boostrap Utilities
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- Dominant language
- Python
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Description
Hi, I was wondering whether you planned on writing supporting code for bootstrap analysis, currently the lingam package is way too slow using inefficient code.
However, it remains a good example, please see the tutorial.
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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
Start with the linked VAR tutorial and compare its lingam example with causal-learn's existing code. The issue does not name a file, test, algorithm boundary, or acceptance criterion, so confirm the intended bootstrap utilities and performance target before estimating completion.
Written by the indexing model from the issue text.
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