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Paket: python3-pomegranate (0.13.5-2build1)

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.

Andra paket besläktade med python3-pomegranate

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  • rekommenderar
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  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    också ett virtuellt paket som tillhandahålls av 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
  • dep: python3-scipy
    scientific tools for Python 3
  • dep: python3-yaml
    YAML parser and emitter for Python3

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Hämtningar för alla tillgängliga arkitekturer
Arkitektur Paketstorlek Installerad storlek Filer
amd64 2.400,6 kbyte39646 kbyte [filförteckning]
arm64 2.352,6 kbyte38836 kbyte [filförteckning]
armhf 2.319,0 kbyte36760 kbyte [filförteckning]
ppc64el 2.758,3 kbyte43115 kbyte [filförteckning]