Paket: python3-pomegranate (0.15.0-1 und andere)

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Homepage [github.com]

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: cython3

C-Extensions for Python 3
dep: libc6 (>= 2.17)

GNU C Library: Shared libraries
auch ein virtuelles Paket, bereitgestellt durch libc6-udeb
dep: python3

interactive high-level object-oriented language (default python3 version)

dep: python3 (<< 3.14)

dep: python3 (>= 3.13~)
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 (>= 1:2)

Python library for numerical computations (Python 3)
dep: python3-numpy2-abi0

virtuelles Paket, bereitgestellt durch python3-numpy

oder python3-numpy-abi9

Paket nicht verfügbar
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

python3-pomegranate herunterladen

Download für alle verfügbaren Architekturen
Architektur	Version	Paketgröße	Größe (installiert)	Dateien
arm64	0.15.0-1+b1	2.923,4 kB	50.953,0 kB	[Liste der Dateien]