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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)

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