[ 原始碼: ghmm ]
套件:ghmm(0.9~rc3-4)
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 (>= 2.14) [amd64]
- 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
- dep: libc6 (>= 2.17) [arm64, ppc64el]
- dep: libc6 (>= 2.4) [除 amd64, arm64, ppc64el]
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- dep: libghmm1 (>= 0.9~rc3)
- General Hidden-Markov-Model library
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
下載 ghmm
硬體架構 | 套件大小 | 安裝後大小 | 檔案 |
---|---|---|---|
amd64 | 138。7 kB | 930。0 kB | [檔案列表] |
arm64 | 133。4 kB | 905。0 kB | [檔案列表] |
armel | 126。9 kB | 838。0 kB | [檔案列表] |
armhf | 129。5 kB | 750。0 kB | [檔案列表] |
i386 | 139。2 kB | 934。0 kB | [檔案列表] |
mips64el | 117。1 kB | 941。0 kB | [檔案列表] |
mipsel | 116。8 kB | 925。0 kB | [檔案列表] |
ppc64el | 141。5 kB | 1,277。0 kB | [檔案列表] |
s390x | 131。1 kB | 913。0 kB | [檔案列表] |