Пакунок: python3-pomegranate (0.14.8-6 and others) [debports]

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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.

Інші пакунки пов'язані з python3-pomegranate

• dep: libc6 (>= 2.4)

  Бібліотека GNU C: спільні бібліотеки
  also a virtual package provided by libc6-udeb

• 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

  virtual package provided by python3-numpy

• dep: python3-scipy

  scientific tools for Python 3

• dep: python3-yaml

  YAML parser and emitter for Python3

• sug: python-pomegranate-doc

  documentation accompanying probabilistic modelling library

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Архітектура	Версія	Розмір пакунка	Розмір після встановлення	Файли
sparc64 (unofficial port)	0.14.8-6+b1	2,329.9 kB	63,054.0 kB	[список файлів]