encoding name

README.rdoc

@@ -41,7 +41,7 @@ You can specify language and encoding for internal stemmer:
 	  b = Classifier::Bayes.new :categories => ['Interesting', 'Uninteresting'],
       :language => 'ro', :encoding => 'ISO_8859_2'
 
-The default values are 'en' for language and 'UTF-8' for the encoding.
+The default values are 'en' for language and 'UTF_8' for the encoding. The encoding name must have underscores instead of hyphens (i.e.: UTF_8 instead of UTF-8).
 
 Each language uses a word list to exclude certain words (stopwords). classifier comes with three included stopword lists, for English, Russian and Spanish.
 The English list is the one that comes with the original gem (don't know where it was taken from) and the Russian and Spanish are from snowball[http://snowball.tartarus.org/algorithms/].

luisparravicini-classifier.gemspec

@@ -5,7 +5,7 @@
 
 Gem::Specification.new do |s|
   s.name = %q{luisparravicini-classifier}
-  s.version = "1.3.9"
+  s.version = "1.4.0"
 
   s.required_rubygems_version = Gem::Requirement.new(">= 0") if s.respond_to? :required_rubygems_version=
   s.authors = ["Luis Parravicini"]

test/bayes/bayesian_test.rb

@@ -1,6 +1,7 @@
 # coding:utf-8
 
 require File.dirname(__FILE__) + '/../test_helper'
+
 class BayesianTest < Test::Unit::TestCase
 	def setup
 		@classifier = Classifier::Bayes.new :categories => ['Interesting', 'Uninteresting']
@@ -57,11 +58,11 @@ def test_case_insensitive
 
   def test_serialize
     txt = "this can be serialized"
-    b = Classifier::Bayes.new(:categories => ['Interesting', 'Uninteresting'])
-    b.train_interesting(txt)
-    b.train_uninteresting("really uninteresting")
+    @classifier.train_interesting(txt)
+    @classifier.train_uninteresting("really uninteresting")
 
-    b2 = Marshal::load(Marshal::dump(b))
-    assert_equal b.classify(txt), b2.classify(txt)
+    b2 = Marshal::load(Marshal::dump(@classifier))
+    assert_equal @classifier.classify(txt), b2.classify(txt)
   end
+
 end