Package: python3-xgboost (1.2.1-1)

[ Source: xgboost  ]

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.

Other Packages Related to python3-xgboost

• dep: libxgboost0 (= 1.2.1-1)

  Scalable and Flexible Gradient Boosting (Shared lib)

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-numpy

  Fast array facility to the Python 3 language

• dep: python3-scipy

  scientific tools for Python 3

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