软件包：python3-pomegranate（0.14.8-3） [debports]
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.
其他与 python3-pomegranate 有关的软件包
|
|
|
|
-
- dep: libc6 (>= 2.3.4)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
-
- dep: python3
- 交互式高级面向对象语言（默认 python3 版本）
- dep: python3 (<< 3.12)
- dep: python3 (>= 3.11~)
-
- 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
- Fast array facility to the Python language (Python 3)
-
- 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