1 files changed, 0 insertions, 52 deletions
diff --git a/algorithm.rb b/algorithm.rb
index 6cecfca..6c6ba73 100644
--- a/algorithm.rb
+++ b/algorithm.rb
@@ -24,58 +24,6 @@ class AlgorithmTest < Test::Unit::TestCase
     end
   end
 
-  def test_p_sum_support
-    params = {}
-    params[:compound_features_hits] = { "c:c" => 10, "c:c:c" => 5, "O:N" => 2}
-    params[:training_compound] = "http://localhost/compound/InChI=1S/CH2O/c1-2/h1H2"
-    params[:training_compound_features_hits] = {"c:c" => 6, "c:c:c" => 3, "O:O" => 2}
-    params[:weights] = { "c:c" => 0.95, "c:c:c" => 0.96, "O:N" => 0.97, "O:O" => 0.98}
-    params[:features] = (params[:compound_features_hits].keys + params[:training_compound_features_hits].keys).uniq
-    2.times{
-      params[:mode] = "min"
-      assert_in_delta OpenTox::Algorithm.p_sum_support(params), 12.8762796504849, 0.00001
-      params[:mode] = "max"
-      assert_in_delta OpenTox::Algorithm.p_sum_support(params), 18.8034091184372, 0.00001
-    }
-  end
-  
-  def test_tanimoto
-    params = {}
-    params[:training_compound] = "http://localhost/compound/InChI=1S/CH2O/c1-2/h1H2"
-    weights = { "c:c" => 0.95, "c:c:c" => 0.96, "O:N" => 0.97, "O:O" => 0.98}
-    params[:compound_features_hits] = { "c:c" => 10, "c:c:c" => 5, "O:N" => 2}
-    features_a = params[:compound_features_hits].keys
-    params[:training_compound_features_hits] = {"c:c" => 6, "c:c:c" => 3, "O:O" => 2}
-    features_b = params[:training_compound_features_hits].keys
-    2.times{
-      params[:nr_hits] = false 
-      #test without weights
-      assert_in_delta OpenTox::Algorithm::Similarity.tanimoto(features_a, features_b, nil, params), 0.5, 0.000001
-      
-      #test with weights
-      assert_in_delta OpenTox::Algorithm::Similarity.tanimoto(features_a, features_b, weights, params), 0.498056105472291, 0.000001
-
-      #test with weights and nr_hits true
-      params[:nr_hits] = true
-      assert_in_delta OpenTox::Algorithm::Similarity.tanimoto(features_a, features_b, weights, params), 0.472823526091916, 0.000001  
-    }
-
-    params[:training_compound_features_hits] = {"c:c" => 2, "O:N" => 2}
-    features_c = params[:training_compound_features_hits].keys
-
-    2.times{
-      params[:nr_hits] = false
-      #test without weights
-      assert_in_delta OpenTox::Algorithm::Similarity.tanimoto(features_a, features_c, nil, params), 0.666666666666667, 0.000001
-      
-      #test with weights
-      assert_in_delta OpenTox::Algorithm::Similarity.tanimoto(features_a, features_c, weights, params), 0.666545393630348, 0.000001
-
-      #test with weights and nr_hits true
-      params[:nr_hits] = true
-      assert_in_delta OpenTox::Algorithm::Similarity.tanimoto(features_a, features_c, weights, params), 0.235749338271022, 0.000001
-    }
-  end
 =begin
   def test_clustering
     # Parameters