[ol7_developer_EPEL] python-gensim-core-0.10.0-1.el7.noarch

Name:python-gensim-core
Version:0.10.0
Release:1.el7
Architecture:noarch
Group:Unspecified
Size:1002261
License:LGPLv2
RPM: python-gensim-core-0.10.0-1.el7.noarch.rpm
Source RPM: python-gensim-0.10.0-1.el7.src.rpm
Build Date:Wed Oct 25 2017
Build Host:x86-ol7-builder-01.us.oracle.com
Vendor:Oracle America
URL:http://radimrehurek.com/gensim/
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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