jameslamb/lightgbm-dask-testing
Test LightGBM's Dask integration on different cluster types
This project helps data scientists and machine learning engineers test changes to LightGBM's Dask integration. It takes your local LightGBM code and allows you to run it against different Dask cluster setups, including local multi-worker or cloud-based multi-machine environments. The output helps you identify and debug issues that only appear in distributed computing scenarios, ensuring your LightGBM models scale correctly.
Use this if you are developing or debugging the Dask integration for LightGBM and need to test its behavior across various distributed computing environments, from local clusters to AWS Fargate.
Not ideal if you are simply training LightGBM models and do not need to test or develop the underlying distributed computing integration itself.
Stars
12
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6
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
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