[ 原始碼: ghmm ]
套件:libghmm1(0.9~rc3-4)
General Hidden-Markov-Model library
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.
The dynamic library.
其他與 libghmm1 有關的套件
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- dep: libc6 (>= 2.29)
- 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: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虛擬套件由這些套件填實: libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libxml2 (>= 2.7.4)
- GNOME XML library
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
下載 libghmm1
硬體架構 | 套件大小 | 安裝後大小 | 檔案 |
---|---|---|---|
amd64 | 134。2 kB | 369。0 kB | [檔案列表] |
arm64 | 125。6 kB | 373。0 kB | [檔案列表] |
armel | 116。5 kB | 353。0 kB | [檔案列表] |
armhf | 111。5 kB | 257。0 kB | [檔案列表] |
i386 | 140。5 kB | 409。0 kB | [檔案列表] |
mips64el | 125。6 kB | 412。0 kB | [檔案列表] |
mipsel | 115。9 kB | 378。0 kB | [檔案列表] |
ppc64el | 148。9 kB | 466。0 kB | [檔案列表] |
s390x | 122。6 kB | 389。0 kB | [檔案列表] |