[ 原始碼： xgboost ]
套件：python3-xgboost（1.7.4-1）
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.
其他與 python3-xgboost 有關的套件
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- dep: libxgboost0 (= 1.7.4-1)
- 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
下載 python3-xgboost
| 硬體架構 | 套件大小 | 安裝後大小 | 檔案 |
|---|---|---|---|
| amd64 | 92。8 kB | 524。0 kB | [檔案列表] |
| arm64 | 92。8 kB | 524。0 kB | [檔案列表] |
| armel | 92。8 kB | 524。0 kB | [檔案列表] |
| armhf | 92。8 kB | 524。0 kB | [檔案列表] |
| i386 | 92。8 kB | 524。0 kB | [檔案列表] |
| mips64el | 92。8 kB | 524。0 kB | [檔案列表] |
| mipsel | 92。8 kB | 524。0 kB | [檔案列表] |
| ppc64el | 92。8 kB | 524。0 kB | [檔案列表] |
| s390x | 92。8 kB | 524。0 kB | [檔案列表] |