| Name : python3-gensim-core
| |
| Version : 0.9.2
| Vendor : Fedora Project
|
| Release : 0.3.git20140510.d1c6d58.fc19
| Date : 2014-05-21 01:38:23
|
| Group : Unspecified
| Source RPM : python-gensim-0.9.2-0.3.git20140510.d1c6d58.fc19.src.rpm
|
| Size : 1.06 MB
| |
| 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.
|
RPM found in directory: /packages/linux-pbone/archive.fedoraproject.org/fedora-secondary/updates/19/armhfp |
Hmm ... It's impossible ;-) This RPM doesn't exist on any FTP server
Provides :
python3-gensim
python3-gensim-core
Requires :
