test/neural_network/backpropagation_test.rb in ai4r-1.1 vs test/neural_network/backpropagation_test.rb in ai4r-1.2

@@ -13,32 +13,34 @@
 # the Mozilla Public License version 1.1  as published by the 
 # Mozilla Foundation at http://www.mozilla.org/MPL/MPL-1.1.txt
 # 
  
 
-require File.dirname(__FILE__) + '/../../lib/neural_network/backpropagation'
-
+require File.dirname(__FILE__) + '/../../lib/ai4r/neural_network/backpropagation'
 require 'test/unit'
 
-NeuralNetwork::Backpropagation.send(:public, *NeuralNetwork::Backpropagation.protected_instance_methods)  
-NeuralNetwork::Backpropagation.send(:public, *NeuralNetwork::Backpropagation.private_instance_methods)
+Ai4r::NeuralNetwork::Backpropagation.send(:public, *Ai4r::NeuralNetwork::Backpropagation.protected_instance_methods)  
+Ai4r::NeuralNetwork::Backpropagation.send(:public, *Ai4r::NeuralNetwork::Backpropagation.private_instance_methods)
 
-module NeuralNetwork
+module Ai4r
   
-  
-  class BackpropagationTest < Test::Unit::TestCase
-     
-    def test_eval
-      #Test set 1
-      net = Backpropagation.new([3, 2])
-      y = net.eval([3, 2, 3])
-      assert y.length == 2
-      #Test set 2
-      net = Backpropagation.new([2, 4, 8, 10, 7])
-      y = net.eval([2, 3])
-      assert y.length == 7
+  module NeuralNetwork
+
+
+    class BackpropagationTest < Test::Unit::TestCase
+
+      def test_eval
+        #Test set 1
+        net = Backpropagation.new([3, 2])
+        y = net.eval([3, 2, 3])
+        assert y.length == 2
+        #Test set 2
+        net = Backpropagation.new([2, 4, 8, 10, 7])
+        y = net.eval([2, 3])
+        assert y.length == 7
+      end
+
     end
 
   end
-
 
 end
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