[ Pakiet źródłowy: python-pomegranate ]
Pakiet: python3-pomegranate (0.14.8-4ubuntu1)
Odnośniki dla python3-pomegranate
Zasoby systemu Trisquel:
- Install using apturl
- Entry at directory.fsf.org
- Raporty o błędach
- Changelog
- Informacje nt. praw autorskich
Pobieranie pakietu źródłowego python-pomegranate:
- [python-pomegranate_0.14.8-4ubuntu1.dsc]
- [python-pomegranate_0.14.8.orig.tar.gz]
- [python-pomegranate_0.14.8-4ubuntu1.debian.tar.xz]
Opiekun:
Original Maintainers:
- Debian Python Team
- Steffen Moeller
- Michael R. Crusoe
Zasoby zewnętrzne:
- Strona internetowa [github.com]
Podobne pakiety:
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.
Inne pakiety związane z python3-pomegranate
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- dep: libc6 (>= 2.14) [amd64]
- GNU C Library: Shared libraries
również pakiet wirtualny udostępniany przez libc6-udeb
- dep: libc6 (>= 2.17) [arm64, ppc64el]
- dep: libc6 (>= 2.27) [riscv64]
- dep: libc6 (>= 2.4) [armhf]
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.13)
- dep: python3 (>= 3.12~)
-
- 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 (>= 1:1.25.0)
- Fast array facility to the Python language (Python 3)
-
- dep: python3-numpy-abi9
- pakiet wirtualny udostępniany przez python3-numpy
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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
Pobieranie python3-pomegranate
| Architektura | Rozmiar pakietu | Rozmiar po instalacji | Pliki |
|---|---|---|---|
| amd64 | 2 490,3 KiB | 40120 KiB | [lista plików] |
| arm64 | 2 375,4 KiB | 40470 KiB | [lista plików] |
| armhf | 2 360,0 KiB | 37325 KiB | [lista plików] |
| ppc64el | 2 639,9 KiB | 42967 KiB | [lista plików] |
| riscv64 | 2 520,8 KiB | 38816 KiB | [lista plików] |