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[ Source: xgboost  ]

Package: python3-xgboost (2.0.3-1build2)

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.

Other Packages Related to python3-xgboost

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  • dep: libxgboost0 (= 2.0.3-1build2)
    Scalable and Flexible Gradient Boosting (Shared lib)
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.13)
    dep: python3 (>= 3.12~)
  • dep: python3-numpy
    Fast array facility to the Python language (Python 3)
  • dep: python3-scipy
    scientific tools for Python 3
  • sug: python3-sklearn
    Python modules for machine learning and data mining - Python 3

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Architecture Package Size Installed Size Files
arm64 112.9 kB633 kB [list of files]