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Pakiet: python3-pomegranate (0.12.0+dfsg-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.

Inne pakiety związane z python3-pomegranate

  • wymaga
  • poleca
  • sugeruje
  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    również pakiet wirtualny udostępniany przez libc6-udeb
    dep: libc6 (>= 2.4) [armhf]
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.9)
    dep: python3 (>= 3.8~)
  • dep: python3-joblib (>= 0.9.0b4)
    tools to provide lightweight pipelining in Python
  • dep: python3-networkx (>= 2.0)
    tool to create, manipulate and study complex networks (Python3)
  • dep: python3-numpy
    Fast array facility to the Python 3 language
  • dep: python3-scipy (>= 0.17.0)
    scientific tools for Python 3
  • dep: python3-yaml
    YAML parser and emitter for Python3

Pobieranie python3-pomegranate

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amd64 2 523,2 KiB29940 KiB [lista plików]
armhf 2 333,6 KiB27750 KiB [lista plików]