[ aramo ]
[ Source: xgboost ]
Package: python3-xgboost (1.5.2-1)
Links for python3-xgboost
Trisquel Resources:
Download Source Package xgboost:
Maintainer:
Original Maintainers:
- Debian Deep Learning Team (Mail Archive)
- Mo Zhou
External Resources:
- Homepage [xgboost.ai]
Similar packages:
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.
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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
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- dep: python3-scipy
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Download python3-xgboost
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| amd64 | 70.3 kB | 391 kB | [list of files] |
| arm64 | 70.3 kB | 391 kB | [list of files] |
| armhf | 70.3 kB | 391 kB | [list of files] |
| ppc64el | 70.3 kB | 391 kB | [list of files] |