Trusted-AI / Trusted-AI/AIX360
LightGBM
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.8k
- Forks
- 327
- Avg merge
- 1h 13m
- Merged PRs (30d)
- 1
Description
Hi,
I identified ways to use LightGBM with many of your tools. Let me know if it is something you would like to incorporate into your package. Maybe we can house a tutorial on the repo AIX360 that can show people how to use your tools with LightGBM as I had to develop a few work-around strategies.
https://github.com/firmai/ml-fairness-framework
Best,
Derek
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 by reviewing the issue discussion and the linked ml-fairness-framework repository to understand the proposed LightGBM use cases and workarounds. Before implementation, establish whether the goal is package integration, a tutorial, or both; done requires an agreed scope and a documented, working path for using AIX360 with LightGBM.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- documentation, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100