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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.

12 mentions on Hacker News by 9 people: 2 stories, 10 comments · first 2016-10-17 · latest 2025-06-19

Mentions per year 12 mentions · busiest year 2017 (6)
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  1. …of a dependency, but if we look at that dependency, the fix seems to be found somewhere in this https://github.com/microsoft/LightGBM/compare/v2.2.1...v2.2.... There is admittedly a lot in the update and I may have simply missed it, but I…
    comment by 9rx · 2025-06-19 · in The Grug Brained Developer (2022)
  2. …LightGBM. It features some interesting optimization techniques for better overall performance. https://github.com/microsoft/LightGBM/blob/master/docs/Featu...
    comment by trox · 2020-10-06 · in Gradient Boosted Decision Trees
  3. https://github.com/Microsoft/LightGBM LightGBM also has GPU support for learning decision trees.
    comment by nlperguiy · 2017-12-29 · in ThunderSVM: A Fast SVM Library on GPUs and CPUs
  4. …over-fitting. But it will be powerful if you tuned it well (Here a guide for the parameter tuning: https://github.com/Microsoft/LightGBM/blob/master/docs/Param... ). Also, there are many kaggle winning solutions using lightgbm recently.…
    comment by insulator · 2017-07-26 · in Lessons Learned from Benchmarking Fast Machine Learning Algorithms
  5. …feature transform. LightGBM is also working for the better categorical feature support ( https://github.com/Microsoft/LightGBM/issues/699 ). I think the accuracy of LightGBM will be comparable with CatBoost when it is finished.
    comment by insulator · 2017-07-26 · in Lessons Learned from Benchmarking Fast Machine Learning Algorithms
  6. ▲ 1
    LightGBM GPU Tuning Guide and Performance Comparison
    story by minimaxir · 2017-05-01 · 0 comments
  7. …output[1]. That was 6 months ago now, so maybe it has improved. I know they made big claims. [1] https://github.com/Microsoft/LightGBM/issues/37
    comment by nl · 2017-03-15 · in Introducing Keras 2
  8. LightGBM ( https://github.com/Microsoft/LightGBM ) is shaping up to beat XGBoost; it has mostly API parity and it won in benchmarks before a v2 with a new algorithm.
    comment by minimaxir · 2017-03-15 · in Introducing Keras 2
  9. …dataset was achieved by replacing the Categorical features by the CTR and the count. [1] From https://github.com/Microsoft/LightGBM/wiki/Experiments#paral... : "This data contains 13 integer features and 26 category features of 24 days…
    comment by tadkar · 2016-10-17 · in LightGBM – A fast, distributed, gradient boosting framework
  10. I'm guessing you meant to link this instead. https://github.com/Microsoft/LightGBM/wiki/Experiments#compa...
    comment by dswalter · 2016-10-17 · in LightGBM – A fast, distributed, gradient boosting framework
  11. That is explicitly in the future plans: https://github.com/Microsoft/LightGBM/wiki/Features
    comment by minimaxir · 2016-10-17 · in LightGBM – A fast, distributed, gradient boosting framework
  12. ▲ 104
    LightGBM – A fast, distributed, gradient boosting framework
    story by gwulf · 2016-10-17 · 11 comments