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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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i-spark/catboost
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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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- C++ 83.0%
- Python 10.2%
- Cuda 3.3%
- Scala 0.6%
- Makefile 0.6%
- R 0.5%
- Other 1.8%