[ aramo ]
[ Paquet source : xgboost ]
Paquet : python3-xgboost (1.5.2-1)
Liens pour python3-xgboost
Ressources Trisquel :
Télécharger le paquet source xgboost :
Responsable :
Original Maintainers:
- Debian Deep Learning Team (Archive du courrier électronique)
- Mo Zhou
Ressources externes :
- Page d'accueil [xgboost.ai]
Paquets similaires :
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.
Autres paquets associés à python3-xgboost
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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
Télécharger python3-xgboost
| Architecture | Taille du paquet | Espace occupé une fois installé | Fichiers |
|---|---|---|---|
| armhf | 70,3 ko | 391 ko | [liste des fichiers] |