Metadata-Version: 2.1
Name: word2vec
Version: 0.9.4
Summary: Wrapper for Google word2vec
Home-page: https://github.com/danielfrg/word2vec
Author: Daniel Rodriguez
Author-email: df.rodriguez143@gmail.com
License: Apache License Version 2.0, January 2004
Description: word2vec
        ========
        
        [![travis-ci](https://api.travis-ci.org/danielfrg/word2vec.svg)](https://travis-ci.org/danielfrg/word2vec)
        [![appveyor](https://ci.appveyor.com/api/projects/status/github/danielfrg/word2vec?branch=master&svg=true
        )](https://ci.appveyor.com/project/danielfrg/word2vec)
        
        Python interface to Google word2vec.
        
        Training is done using the original C, other functionality is pure python + numpy.
        
        ## Installation
        
        I recommend the [Anaconda python distribution](http://continuum.io/downloads)
        
        `pip install word2vec`
        
        **Wheel**: Wheels packages for OS X and Windows are provided on Pypi on a
        best effort sense. The code is quite easy to compile so consider using:
        `--no-use-wheel` on Linux and OS X.
        
        **Linux**: There is no wheel support for linux so you have to compile the
        C code. The only requirement is `gcc`. You can override the compilation flags
        if needed: `CFLAGS='-march=corei7' pip install word2vec`
        
        **Windows:** Very experimental support based this [win32 port](https://github.com/zhangyafeikimi/word2vec-win32)
        
        ## Usage
        
        The easiest way is to look at this example:
        [word2vec](http://nbviewer.ipython.org/urls/raw.github.com/danielfrg/word2vec/master/examples/word2vec.ipynb)
        
        The default functionality from word2vec is also available from the command line as:
        - word2vec
        - word2phrase
        - word2vec-distance
        - word2vec-word-analogy
        - word2vec-compute-accuracy
        
        Experimental functionality on doc2vec can be found in this other example:
        [doc2vec](http://nbviewer.ipython.org/urls/raw.github.com/danielfrg/word2vec/master/examples/doc2vec.ipynb)
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
