LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
LightGBM trains faster and uses less memory than XGBoost on large datasets, with comparable accuracy.
From the README
- Faster training speed and higher efficiency.
- Lower memory usage.
- Better accuracy.
- Support of parallel, distributed, and GPU learning.
- Capable of handling large-scale data.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeA fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
LightGBM has 18.6k stars on GitHub. It has been forked 4k times. LightGBM is written mainly in C++. It has been in active development since 2016. LightGBM is available under the MIT license. Its main topics are data-mining, decision-trees, distributed, gbdt.
Read the full guideWhat is LightGBM?
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Is LightGBM open source?
LightGBM is an open-source project. It is released under the MIT license.
Is LightGBM free?
Yes. LightGBM is free and open source — you can use, modify and self-host it.
What license does LightGBM use?
LightGBM is available under the MIT license.
What language is LightGBM written in?
LightGBM is written mainly in C++.
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