[ 源代码: ghmm ]
软件包: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.
其他与 libghmm1 有关的软件包
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- dep: libc6 (>= 2.29)
- 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
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- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虚包由这些包填实: libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libxml2 (>= 2.7.4)
- GNOME XML 库
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- dep: python3
- 交互式高级面向对象语言(默认 python3 版本)
下载 libghmm1
硬件架构 | 软件包大小 | 安装后大小 | 文件 |
---|---|---|---|
amd64 | 134.2 kB | 369.0 kB | [文件列表] |
arm64 | 125.6 kB | 373.0 kB | [文件列表] |
armel | 116.5 kB | 353.0 kB | [文件列表] |
armhf | 111.5 kB | 257.0 kB | [文件列表] |
i386 | 140.5 kB | 409.0 kB | [文件列表] |
mips64el | 125.6 kB | 412.0 kB | [文件列表] |
mipsel | 115.9 kB | 378.0 kB | [文件列表] |
ppc64el | 148.9 kB | 466.0 kB | [文件列表] |
s390x | 122.6 kB | 389.0 kB | [文件列表] |