mars-project / mars-project/mars
Support booster interface in lightgbm
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- Dominant language
- Python
- Stars
- 2.7k
- Forks
- 325
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Description
In my scene, I get a model file in lightgbm format which can be loaded into a booster, and then I need to deploy the model in distributed environment to predict some score. As lightgbm doesn't support transforming booster into lgbmclassifier(https://github.com/microsoft/LightGBM/issues/1942), is it possible to support native booster interface in Mars?
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
The issue provides no file or test entry point. Start by locating Mars's LightGBM support and the path that loads a model for distributed prediction, then compare the requested native Booster input with the linked LightGBM limitation; done means a Booster model file can be loaded and used for distributed scoring.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100