Skip to main content

Wrapper for Google word2vec

Project description

word2vec

travis-ci

Python interface to Google word2vec.

Training is done using the original C code, other functionality is pure Python with numpy.

Installation

pip install word2vec

The installation requires to compile the original C code:

  1. The only requirement is gcc.
  2. You can override the compilation flags if needed: W2V_CFLAGS='-march=corei7' pip install word2vec

Windows: There is some support for this support based on this win32 port. Use at your own risk.

Usage

Look at this example: word2vec

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
word2vec-0.10.2.tar.gz (60.5 kB) Copy SHA256 hash SHA256 Source None Sep 5, 2018

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page