[ 源代码： xgboost ]
软件包：xgboost（1.2.1-1）
Scalable and Flexible Gradient Boosting (Executable)
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Kubernetes, Hadoop, SGE, MPI, Dask) and can solve problems beyond billions of examples.
其他与 xgboost 有关的软件包
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- dep: libc6 (>= 2.29)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
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- dep: libdmlc0 (>= 0.0~git20200912.bfad207)
- Distributed Machine Learning Common Codebase (dev)
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- dep: libgcc-s1 (>= 4.2)
- GCC 支持库
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- dep: libgomp1 (>= 6)
- GCC OpenMP（GOMP）支持库
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- dep: librabit0 (>= 0.0~git20200628.74bf00a)
- Reliable Allreduce and Broadcast Interface (libs)
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- dep: libstdc++6 (>= 9)
- GNU 标准 C++ 库，第3版
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- dep: libxgboost0 (= 1.2.1-1)
- Scalable and Flexible Gradient Boosting (Shared lib)