Paket: python3-pomegranate (0.14.8-6)

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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.

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enhances

dep: libc6 (>= 2.14)

GNU C-bibliotek: Delade bibliotek
också ett virtuellt paket som tillhandahålls av libc6-udeb
dep: python3

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dep: python3 (<< 3.13)

dep: python3 (>= 3.11~)
dep: python3-joblib

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dep: python3-networkx

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dep: python3-numpy (>= 1:1.25.0)

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dep: python3-numpy-abi9

virtuellt paket som tillhandahålls av python3-numpy
dep: python3-scipy

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dep: python3-yaml

YAML parser and emitter for Python3

sug: python-pomegranate-doc

documentation accompanying probabilistic modelling library

Hämta python3-pomegranate

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Arkitektur	Paketstorlek	Installerad storlek	Filer
amd64	3.952,7 kbyte	46.962,0 kbyte	[filförteckning]