https://github.com/tohtsky/lda11
Yet another collapsed gibbs sampler for python.
https://github.com/tohtsky/lda11
Last synced: about 2 months ago
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Yet another collapsed gibbs sampler for python.
- Host: GitHub
- URL: https://github.com/tohtsky/lda11
- Owner: tohtsky
- License: mit
- Created: 2019-09-27T06:54:03.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2025-04-23T08:59:37.000Z (2 months ago)
- Last Synced: 2025-04-23T09:40:40.636Z (2 months ago)
- Language: C++
- Size: 118 KB
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LDA11 - yet another collapsed gibbs sampler for python.
## Features
- Support parallelized sampler proposed in [Distributed Inference for Latent Dirichlet Allocation](https://dl.acm.org/doi/abs/10.5555/2981562.2981698).
- Implement [CGS_p estimator](http://www.jmlr.org/papers/volume18/16-526/16-526.pdf) for more precise point estimate of topic-word distribution.
- Implement [Labelled LDA](https://www-nlp.stanford.edu/cmanning/papers/llda-emnlp09.pdf)
- Able to obtain per-word topic frequency.
The implementaion relies on [Eigen](http://eigen.tuxfamily.org/index.php?title=Main_Page) for faster array multiplication and [pybind11](https://github.com/pybind/pybind11) for simple binding.
## Installation
You can install the wheel from pypi:
```
pip install lda11
```
For x64 architecture, the above wheel is built using AVX.
If it is not convenient for you, try e.g.
```
CFLAGS="-march=native" pip install git+https://github.com/tohtsky/lda11
```