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A parallel C++ implementation of fast Gibbs sampling of Latent Dirichlet Allocation

plda is a parallel C++ implementation of fast Gibbs sampling of Latent Dirichlet Allocation (LDA).

Version: 3.1 License: Apache-2

GitHub

Maintainers	No Maintainer
Categories	textproc math
Homepage	https://code.google.com/p/plda/
Platforms	darwin
Variants	clang10 (Build using the MacPorts clang 10 compiler) clang11 (Build using the MacPorts clang 11 compiler) clang12 (Build using the MacPorts clang 12 compiler) clang50 (Build using the MacPorts clang 5.0 compiler) clang60 (Build using the MacPorts clang 6.0 compiler) clang70 (Build using the MacPorts clang 7.0 compiler) clang80 (Build using the MacPorts clang 8.0 compiler) clang90 (Build using the MacPorts clang 9.0 compiler) clangdevel (Build using the MacPorts clang devel compiler) gcc10 (Build using the MacPorts gcc 10 compiler) gcc11 (Build using the MacPorts gcc 11 compiler) gcc5 (Build using the MacPorts gcc 5 compiler) gcc6 (Build using the MacPorts gcc 6 compiler) gcc7 (Build using the MacPorts gcc 7 compiler) gcc8 (Build using the MacPorts gcc 8 compiler) gcc9 (Build using the MacPorts gcc 9 compiler) gccdevel (Build using the MacPorts gcc devel compiler) mpich (Build using the MPICH compiler) openmpi (Build using the OpenMPI compiler) universal (Build for multiple architectures)

"plda" depends on

build (1)

clang-9.0

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