[ 源代码: ghmm ]
软件包:libghmm-dev(0.9~rc3-11)
General Hidden-Markov-Model library - header files
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.
Header files and static library to compile against the library.
其他与 libghmm-dev 有关的软件包
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- dep: libghmm1t64 (<< 0.9~rc3+1)
- General Hidden-Markov-Model library
- dep: libghmm1t64 (>= 0.9~rc3)
下载 libghmm-dev
硬件架构 | 软件包大小 | 安装后大小 | 文件 |
---|---|---|---|
amd64 | 184.9 kB | 893.0 kB | [文件列表] |
arm64 | 177.2 kB | 890.0 kB | [文件列表] |
armel | 169.6 kB | 749.0 kB | [文件列表] |
armhf | 163.5 kB | 641.0 kB | [文件列表] |
i386 | 194.8 kB | 805.0 kB | [文件列表] |
mips64el | 196.3 kB | 1,077.0 kB | [文件列表] |
ppc64el | 207.3 kB | 1,010.0 kB | [文件列表] |
riscv64 | 371.3 kB | 3,220.0 kB | [文件列表] |
s390x | 200.2 kB | 933.0 kB | [文件列表] |