套件:libxgboost0(1.7.4-1)
Scalable and Flexible Gradient Boosting (Shared lib)
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.
This package contains the xgboost shared object.
其他與 libxgboost0 有關的套件
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- dep: libc6 (>= 2.34)
- 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 (>= 0.5)
- Distributed Machine Learning Common Codebase (lib)
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- dep: libgcc-s1 (>= 3.0)
- GCC 支援函式庫
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- dep: libgomp1 (>= 6)
- GCC OpenMP (GOMP) support library
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- dep: libstdc++6 (>= 11)
- GNU Standard C++ Library v3