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