[ ソース: xgboost ]
パッケージ: libxgboost0 (1.2.1-1)
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.
その他の libxgboost0 関連パッケージ
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- dep: libc6 (>= 2.29)
- GNU C ライブラリ: 共有ライブラリ
以下のパッケージによって提供される仮想パッケージでもあります: 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 共有ライブラリ
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- dep: libgomp1 (>= 6)
- GCC OpenMP (GOMP) サポートライブラリ
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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 標準 C++ ライブラリ v3