[ 原始碼: ghmm ]
套件:libghmm-dev(0.9~rc3-2)
General Hidden-Markov-Model library - header files
The General Hidden Markov Model Library (GHMM) is a C library with additional Python 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.
其他與 libghmm-dev 有關的套件
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下載 libghmm-dev
硬體架構 | 套件大小 | 安裝後大小 | 檔案 |
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amd64 | 176。7 kB | 849。0 kB | [檔案列表] |
arm64 | 164。3 kB | 829。0 kB | [檔案列表] |
armel | 161。5 kB | 702。0 kB | [檔案列表] |
armhf | 156。6 kB | 597。0 kB | [檔案列表] |
i386 | 186。1 kB | 761。0 kB | [檔案列表] |
mips | 179。9 kB | 790。0 kB | [檔案列表] |
mips64el | 186。1 kB | 1,029。0 kB | [檔案列表] |
mipsel | 183。4 kB | 790。0 kB | [檔案列表] |
ppc64el | 191。9 kB | 946。0 kB | [檔案列表] |
s390x | 165。5 kB | 847。0 kB | [檔案列表] |