Information for RPM python-gensim-0.10.0-26.fc33.src.rpm
| ID | 684855 | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Name | python-gensim | ||||||||||||
| Version | 0.10.0 | ||||||||||||
| Release | 26.fc33 | ||||||||||||
| Epoch | |||||||||||||
| Arch | src | ||||||||||||
| Summary | Python framework for fast Vector Space Modelling | ||||||||||||
| 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). * 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 implementations of popular algorithms, such as online Latent Semantic Analysis (LSA/LSI), 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, and word2vec on multiple cores. * Extensive HTML documentation and tutorials. | ||||||||||||
| Build Time | 2020-08-14 08:06:41 GMT | ||||||||||||
| Size | 2.55 MB | ||||||||||||
| de22fba9c38897f1d1a861a16dce83ac | |||||||||||||
| License | LGPLv2 | ||||||||||||
| Buildroot | f33-build-293902-55196 | ||||||||||||
| Provides |
|
||||||||||||
| Obsoletes | No Obsoletes | ||||||||||||
| Conflicts | No Conflicts | ||||||||||||
| Requires |
|
||||||||||||
| Recommends | No Recommends | ||||||||||||
| Suggests | No Suggests | ||||||||||||
| Supplements | No Supplements | ||||||||||||
| Enhances | No Enhances | ||||||||||||
| Files |
|
||||||||||||
| Component of | No Buildroots | ||||||||||||
