| Name : python3-gensim-core
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| Version : 0.10.0
| Vendor : Fedora Project
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| Release : 5.fc24
| Date : 2015-11-27 17:47:24
|
| Group : Unspecified
| Source RPM : python-gensim-0.10.0-5.fc24.src.rpm
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| Size : 1.07 MB
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| Packager : Fedora Project
| |
| Summary : Python framework for fast Vector Space Modelling
|
Description :
This package contains the pure Python implementation of gensim.
If you don\'t need the highly optimized version of word2vec, it is
sufficient to install this package. Otherwise installing the
\"python-gensim-addons\"-package is strongly recommended.
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.
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RPM found in directory: /packages/linux-pbone/archive.fedoraproject.org/fedora-secondary/releases/25/Everything/ppc64/os/Packages/p |
