[ nabia ]
[ aramo ]
[ ソース: python-pomegranate ]
パッケージ: python3-pomegranate (0.13.5-2build1)
python3-pomegranate に関するリンク
Trisquel の資源:
python-pomegranate ソースパッケージをダウンロード:
- [python-pomegranate_0.13.5-2build1.dsc]
- [python-pomegranate_0.13.5.orig.tar.gz]
- [python-pomegranate_0.13.5-2build1.debian.tar.xz]
メンテナ:
Original Maintainers:
- Debian Python Team
- Steffen Moeller
- Michael R. Crusoe
外部の資源:
- ホームページ [github.com]
類似のパッケージ:
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.
その他の python3-pomegranate 関連パッケージ
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- dep: libc6 (>= 2.14) [amd64]
- GNU C Library: Shared libraries
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
- dep: libc6 (>= 2.17) [arm64, ppc64el]
- dep: libc6 (>= 2.4) [armhf]
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.11)
- dep: python3 (>= 3.10~)
-
- dep: python3-joblib
- tools to provide lightweight pipelining in Python
-
- dep: python3-networkx
- tool to create, manipulate and study complex networks (Python3)
-
- 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