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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.

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  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    auch ein virtuelles Paket, bereitgestellt durch 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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Architektur Paketgröße Größe (installiert) Dateien
amd64 2.400,6 kB39646 kB [Liste der Dateien]
arm64 2.352,6 kB38836 kB [Liste der Dateien]
armhf 2.319,0 kB36760 kB [Liste der Dateien]
ppc64el 2.758,3 kB43115 kB [Liste der Dateien]