Package: xgboost (2.0.3-1 and others) [debports]
Links for xgboost
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External Resources:
- Homepage [xgboost.ai]
Similar packages:
Scalable and Flexible Gradient Boosting (Executable)
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 binary executable.
Other Packages Related to xgboost
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- dep: libc6.1 (>= 2.34)
- GNU C Library: Shared libraries
also a virtual package provided by libc6.1-udeb
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- dep: libdmlc0t64 (>= 0.5)
- Distributed Machine Learning Common Codebase (lib)
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- dep: libgcc-s1 (>= 3.4)
- GCC support library
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- dep: libgomp1 (>= 6)
- GCC OpenMP (GOMP) support library
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- dep: libstdc++6 (>= 13.1)
- GNU Standard C++ Library v3
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- dep: libxgboost0 (= 2.0.3-1+b1)
- Scalable and Flexible Gradient Boosting (Shared lib)
Download xgboost
| Architecture | Version | Package Size | Installed Size | Files |
|---|---|---|---|---|
| alpha (unofficial port) | 2.0.3-1+b1 | 1,782.6 kB | 7,711.0 kB | [list of files] |