textproc/py-gensim 4.3.3 DragonFly
Python framework for fast Vector Space Modelling
- System
- DragonFly
- Repository
- DPorts
- Maintainer
- [email protected] (as in FreeBSD)
- License
- LGPL21
- Categories
- python, textproc
- Package size
- 18810.7 KiB, 45435.5 KiB installed
Description
Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
Features: * All algorithms are memory-independent w.r.t. the corpus size (can process input larger than RAM, streamed, out-of-core), * Intuitive interfaces * easy to plug in your own input corpus/datastream (trivial streaming API) * easy to extend with other Vector Space algorithms (trivial transformation API) * Efficient multicore implementations of popular algorithms, such as online Latent Semantic Analysis (LSA/LSI/SVD), Latent Dirichlet Allocation (LDA), Random Projections (RP), Hierarchical Dirichlet Process (HDP) or word2vec deep learning. * Distributed computing: can run Latent Semantic Analysis and Latent Dirichlet Allocation on a cluster of computers. * Extensive documentation and Jupyter Notebook tutorials.
In the other systems
| System | Port | Version |
|---|---|---|
| DragonFly | textproc/py-gensim | 4.3.3 |
| FreeBSD | textproc/py-gensim | 4.4.0 |
| GhostBSD | textproc/py-gensim | 4.4.0 |
Install
Binary package:
pkg install py311-gensim
From DPorts:
cd /usr/dports/textproc/py-gensim && make install clean
Dependencies
Run dependencies 4
Required by 2
Configuration
No options to configure.
- Service scripts
- none