How to use the Remember gem with Classifier

bayes.rb

# An example showing how to use Remember (http://github.com/jpignata/remember)
# to serialize a bayes classifier made with the "classifier" gem. This would
# be useful to share a Bayes classifier across server instances.
#
# This seems to be similar, but more rudimentary, to functionality found in
# Maglev and jruby-maglev, the ability to share globals across interpreters.

require 'rubygems'
require 'xattr'
require 'moneta'
require 'moneta/file'
require 'classifier'
require File.join(File.dirname(__FILE__), '../vendor/remember/lib/remember')

r = Remember.new(Moneta::File, :path => File.join(File.dirname(__FILE__), '../tmp'))

unless r["bayes"]
  puts "Initializing r['bayes']"
  
  r["bayes"] = Classifier::Bayes.new 'Interesting', 'Uninteresting'
  
  bayes = r["bayes"]
  
  bayes.train_interesting "here are some good words. I hope you love them"
  bayes.train_uninteresting "here are some bad words, I hate you"
  
  bayes.train_interesting "here are some good words. I hope you love them"
  bayes.train_uninteresting "here are some bad words, I hate you"
  
  r["bayes"] = bayes
end

bayes = r["bayes"]

puts "\nBayes says:\n\n"
puts 'bayes.classify "I love you"'
puts bayes.classify "I love you"
puts 'bayes.classify "I hate bad words and you"'
puts bayes.classify "I hate bad words and you"

lsi.rb

require 'rubygems'
require 'xattr'
require 'moneta'
require 'moneta/file'
require 'classifier'
require File.join(File.dirname(__FILE__), '../vendor/remember/lib/remember')

r = Remember.new(Moneta::File, :path => File.join(File.dirname(__FILE__), '../tmp'))

$strings = [
  ["This text deals with dogs. Dogs.", :dog],
  ["This text involves dogs too. Dogs! ", :dog],
  ["This text revolves around cats. Cats.", :cat],
  ["This text also involves cats. Cats!", :cat],
  ["This text involves birds. Birds.",:bird ]
]
unless r["lsi"]
  puts "Initializing r['lsi']"
  
  r["lsi"] = Classifier::LSI.new
  
  lsi = r["lsi"]
  
  $strings.each { |x| lsi.add_item x.first, x.last }
  
  r["lsi"] = lsi
end

lsi = r["lsi"]

puts "\nLSI says:\n\n"
puts 'lsi.search("dog", 3)'
puts lsi.search("dog", 3)
print "\n"
puts 'lsi.find_related($strings[2], 2)'
puts lsi.find_related($strings[2], 2)
print "\n"
puts 'lsi.classify "This text is also about dogs!"'
puts lsi.classify "This text is also about dogs!"
print "\n"
print "\n"