Skip to content

reddavis/Naive-Bayes

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Naive Bayes Classifier

This is an extremely simple, straight forward Naive Bayes implementation.

Install

gem sources -a -http://gemcutter.org
sudo gem install naive_bayes

How To Use

require 'rubygems'
require 'naive_bayes'

a = NaiveBayes.new(:spam, :ham)

a.train(:spam, 'bad', 'word')
a.train(:ham, 'good', 'word')

b = "this is a bad sentence".split(' ')

a.classify(*b)
  #=> [:spam, 0.03125]

You can also tell your classifier to save itself, so its easy for you to pick up where you left off:

require 'rubygems'
require 'naive_bayes'

a = NaiveBayes.new(:spam, :ham)
a.db_filepath = 'path/to/anywhere.nb'

a.train(:spam, 'bad', 'word')
a.train(:ham, 'good', 'word')

a.save

Some time goes past and we want to classify a new document we just received…

require 'rubygems'
require 'naive_bayes'

a = NaiveBayes.load('path/to/file') 

b = "this is a bad sentence".split(' ')

# It's as if we were never apart
a.classify(*b)
  #=> [:spam, 0.03125]

Copyright © 2009 Red Davis. See LICENSE for details.

About

Simple Naive Bayes classifier

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Contributors 2

  •  
  •  

Languages

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy