[ aramo ]
[ 原始碼： xgboost ]
套件： python3-xgboost (1.5.2-1)
python3-xgboost 的相關超連結
Trisquel 的資源：
下載原始碼套件 xgboost：
維護者：
Original Maintainers:
- Debian Deep Learning Team (郵件存檔)
- Mo Zhou
外部的資源：
- 主頁 [xgboost.ai]
相似套件：
Scalable and Flexible Gradient Boosting (Python3)
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 python3 binding.
其他與 python3-xgboost 有關的套件
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- dep: libxgboost0 (= 1.5.2-1)
- Scalable and Flexible Gradient Boosting (Shared lib)
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-numpy
- Fast array facility to the Python 3 language
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- dep: python3-scipy
- scientific tools for Python 3