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a C/C++ implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling

GibbsLDA++ is a C/C++ implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling technique for parameter estimation and inference. It is very fast and is designed to analyze hidden/latent topic structures of large-scale datasets including very large collections of text/Web documents.

Version: 0.2 License: GPL-2+ GitHub
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6 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
12 12967 2022-01-12 11:37:16 0:00:15 3334 build successful
12.arm64 28811 2021-11-25 18:46:56 0:00:08 1593 build successful
11 11612 2021-01-02 18:19:15 0:01:00 1557 build successful
11.arm64 7026 2021-01-02 13:43:04 0:00:11 1654 build successful
10.15 17319 2019-12-28 18:55:03 0:01:04 1768 build successful
10.6 1751 2019-10-31 22:15:55 0:06:16 541 build successful