- Name: python3-gensim-core
- Version: 0.10.0
- Release: 1.fc19
- Epoch:
- Group: Unspecified
- License: LGPLv2
- Url: http://radimrehurek.com/gensim/
- Summary: Python framework for fast Vector Space Modelling
- Architecture: noarch
- Size: 1111175
- Distribution: Fedora Project
- Vendor: Fedora Project
- Packager: Fedora Project
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.
- OptFlags: -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic
- Cookie:
- Buildhost: buildvm-07.phx2.fedoraproject.org
Sources packages:
Other version of this rpm: