[ nabia ]
[ aramo ]
[ 原始碼： python-pomegranate ]
套件： python3-pomegranate (0.13.5-2build1)
python3-pomegranate 的相關超連結
Trisquel 的資源：
下載原始碼套件 python-pomegranate：
- [python-pomegranate_0.13.5-2build1.dsc]
- [python-pomegranate_0.13.5.orig.tar.gz]
- [python-pomegranate_0.13.5-2build1.debian.tar.xz]
維護者：
Original Maintainers:
- Debian Python Team
- Steffen Moeller
- Michael R. Crusoe
外部的資源：
- 主頁 [github.com]
相似套件：
Fast, flexible and easy to use probabilistic modelling
pomegranate is a package for probabilistic models in Python that is implemented in cython for speed. It's focus is on merging the easy-to-use scikit-learn API with the modularity that comes with probabilistic modeling to allow users to specify complicated models without needing to worry about implementation details. The models are built from the ground up with big data processing in mind and so natively support features like out-of-core learning and parallelism.
其他與 python3-pomegranate 有關的套件
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- dep: libc6 (>= 2.17)
- GNU C Library: Shared libraries
同時作為一個虛擬套件由這些套件提供： libc6-udeb
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.11)
- dep: python3 (>= 3.10~)
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- dep: python3-joblib
- tools to provide lightweight pipelining in Python
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- dep: python3-networkx
- tool to create, manipulate and study complex networks (Python3)
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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
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- dep: python3-yaml
- YAML parser and emitter for Python3
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- sug: python-pomegranate-doc
- documentation accompanying probabilistic modelling library