Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
Use a Bayesian classifier to determine source code language
PHP CSS Java Perl Ruby
branch: master

Fetching latest commit…

Cannot retrieve the latest commit at this time

Failed to load latest commit information.
examples
lib
sources
test
.gitignore
HISTORY
LICENSE
Manifest
README.textile
Rakefile
sourceclassifier.gemspec
trainer.bin

README.textile

SourceClassifier

Source classifier identifies programming language using a Bayesian classifier trained on a corpus generated from the Computer Language Benchmarks Game . It is written in Ruby and availabe as a gem. To train the classifier to identify new languages download the sources from github.

Out of the box SourceClassifier recognises Css, C, Java, Javascript, Perl, Php, Python and Ruby.

Usage

First install the gem using github as a source

$ gem sources -a http://gems.github.com $ sudo gem install chrislo-sourceclassifier

Then, to use

  require 'rubygems'
  require 'sourceclassifier'

  s = SourceClassifier.new

  ruby_text = <<EOT
  def my_sorting_function(a)
    a.sort
  end
  EOT

  c_text = <<EOT
  #include <unistd.h>

  int main() {
    write(1, "hello world\n", 12);
    return(0);
  }
  EOT

  s.identify(ruby_text) #=> Ruby
  s.identify(c_text) #=> Gcc

Training

Download the sources from github and in the directory run the training rake test

$ rake train

In the ./sources directory are subdirectories for each language you wish to be able to identify. Each subdirectory contains examples of programs written in that language. The name of the directory is significant – it is the value returned by the SourceClassifier.identify() method.

The rake task populate:shootout can be used to build these subdirectories from a checkout of the computer language shootout sources but you are free to train the classifier using any available examples. Edit the Rakefile to point to your checkout of the shootout sources

Run rake populate:css to grab the css files used to train the classifier from csszengarden.com.

To populate the sources directory using all available sources run

$ rake populate:all

Acknowledgments

This library depends heavily on the great Classifier gem by Lucas Carlson and David Fayram II.

License

This gem is released under the MIT license (see LICENSE). The training
examples retain their original licenses.

Something went wrong with that request. Please try again.