套件：ghmm（0.9~rc3-9） [debports]
General Hidden-Markov-Model library - tools
The General Hidden Markov Model Library (GHMM) is a C library with additional Python3 bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continuous emissions, basic training, HMM clustering, HMM mixtures.
This package contains some tools using the library.
其他與 ghmm 有關的套件
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- dep: libc6 (>= 2.34)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libghmm1t64 (>= 0.9~rc3)
- General Hidden-Markov-Model library
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- dep: liblapacke (>= 3.12.0)
- Library of linear algebra routines 3 - C lib shared version
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- dep: libxml2 (>= 2.6.27)
- GNOME XML library
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.13)
- dep: python3 (>= 3.12~)
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- dep: zlib1g (>= 1:1.1.4)
- 壓縮函式庫 - 跑程式時用(runtime)
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- rec: libopenblas0
- Optimized BLAS (linear algebra) library (meta)
- 或者 libblis4
- BLAS-like Library Instantiation Software Framework (32bit,meta)