Package: python3-pomegranate (0.14.8-3 and others)

[ Source: python-pomegranate  ]

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.

Other Packages Related to python3-pomegranate

• dep: libc6 (>= 2.14) [amd64]

  GNU C Library: Shared libraries
  also a virtual package provided by libc6-udeb

  dep: libc6 (>= 2.17) [arm64, ppc64el]

  dep: libc6 (>= 2.4) [not amd64, arm64, ppc64el]

• dep: python3

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  dep: python3 (<< 3.12)

  dep: python3 (>= 3.11~)

• dep: python3-joblib

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• dep: python3-networkx

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• dep: python3-numpy

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• dep: python3-scipy

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• dep: python3-yaml

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• sug: python-pomegranate-doc

  documentation accompanying probabilistic modelling library

Download python3-pomegranate

Download for all available architectures

Architecture	Version	Package Size	Installed Size	Files
amd64	0.14.8-3+b1	2,450.3 kB	39,453.0 kB	[list of files]
arm64	0.14.8-3+b1	2,235.6 kB	39,641.0 kB	[list of files]
armel	0.14.8-3+b1	2,182.4 kB	38,524.0 kB	[list of files]
armhf	0.14.8-3+b1	2,236.1 kB	36,788.0 kB	[list of files]
i386	0.14.8-3+b1	2,414.9 kB	39,637.0 kB	[list of files]
mips64el	0.14.8-3+b1	2,093.8 kB	40,659.0 kB	[list of files]
mipsel	0.14.8-3+b1	2,103.9 kB	39,944.0 kB	[list of files]
ppc64el	0.14.8-3+b1	2,348.8 kB	41,438.0 kB	[list of files]
s390x	0.14.8-3+b1	2,148.8 kB	39,387.0 kB	[list of files]