[ 原始碼： xgboost ]
套件：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.
其他與 xgboost 有關的套件
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- dep: libc6 (>= 2.29)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： 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 (>= 3.5)
- GCC 支援函式庫
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- dep: libgomp1 (>= 6)
- GCC OpenMP (GOMP) support library
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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 Standard C++ Library v3
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- dep: libxgboost0 (= 1.2.1-1)
- Scalable and Flexible Gradient Boosting (Shared lib)