Package: python3-hmmlearn (0.3.0-5 and others)

[ Source: python-hmmlearn  ]

unsupervised learning and inference of Hidden Markov Models

Hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and similar models see seqlearn.

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• dep: libc6 (>= 2.32) [not alpha, sh4]

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  dep: libc6 (>= 2.37) [sh4]

• dep: libc6.1 (>= 2.32) [alpha]

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• dep: libgcc-s1 (>= 3.0) [not armel, armhf, hppa, m68k, sh4]

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  dep: libgcc-s1 (>= 3.3.4) [sh4]

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

• dep: libgcc-s2 (>= 4.2.1) [m68k]

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• dep: libgcc-s4 (>= 4.1.1) [hppa]

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• dep: libstdc++6 (>= 11)

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Download python3-hmmlearn

Download for all available architectures

Architecture	Version	Package Size	Installed Size	Files
alpha (unofficial port)	0.3.0-3	131.5 kB	732.0 kB	[list of files]
amd64	0.3.0-5	135.3 kB	644.0 kB	[list of files]
arm64	0.3.0-5	126.1 kB	732.0 kB	[list of files]
armel	0.3.0-5	124.1 kB	614.0 kB	[list of files]
armhf	0.3.0-5	126.5 kB	538.0 kB	[list of files]
hppa (unofficial port)	0.3.0-3	135.1 kB	682.0 kB	[list of files]
i386	0.3.0-5	141.3 kB	642.0 kB	[list of files]
m68k (unofficial port)	0.3.0-5	131.7 kB	620.0 kB	[list of files]
mips64el	0.3.0-5	130.4 kB	746.0 kB	[list of files]
ppc64 (unofficial port)	0.3.0-3	135.7 kB	734.0 kB	[list of files]
ppc64el	0.3.0-5	137.1 kB	732.0 kB	[list of files]
riscv64	0.3.0-5	133.3 kB	580.0 kB	[list of files]
s390x	0.3.0-5	136.1 kB	660.0 kB	[list of files]
sh4 (unofficial port)	0.3.0-5	160.8 kB	730.0 kB	[list of files]