Updated test to commit 3115539653ac01f703492d632c1d1adbc8ab5cee

1 files changed, 6 insertions, 8 deletions

diff --git a/lazar.rb b/lazar.rb
index be550c0..b6d1b89 100644
--- a/lazar.rb
+++ b/lazar.rb
@@ -62,7 +62,6 @@ class LazarTest < Test::Unit::TestCase
 
 =begin
 =end
-
   ### Regression
   #
   # Nominal / Ordinal Features
@@ -78,12 +77,12 @@ class LazarTest < Test::Unit::TestCase
   def test_create_regression_model
     create_model :dataset_uri => @@regression_training_dataset.uri
     predict_compound OpenTox::Compound.from_smiles("c1ccccc1NN")
-    assert_in_delta @predictions.first.value(@compounds.first), 0.15, 0.2
+    assert_in_delta @predictions.first.value(@compounds.first), 0.35, 0.2
     assert_equal 0.453.round_to(3), @predictions.first.confidence(@compounds.first).round_to(3)
     assert_equal 253, @predictions.first.neighbors(@compounds.first).size
     cleanup
   end
-
+  
   def test_create_regression_prop_model
     create_model :dataset_uri => @@regression_training_dataset.uri, :local_svm_kernel => "propositionalized"
     predict_compound  OpenTox::Compound.from_smiles("c1ccccc1NN")
@@ -97,8 +96,8 @@ class LazarTest < Test::Unit::TestCase
   def test_create_regression_prop_pc_model
     create_model :dataset_uri => @@regression_training_dataset.uri, :local_svm_kernel => "propositionalized", :pc_type => "electronic"
     predict_compound  OpenTox::Compound.from_smiles("c1ccccc1NN")
-    assert_in_delta @predictions.first.value(@compounds.first), 0.53, 0.1
-    assert_in_delta @predictions.first.confidence(@compounds.first), 0.45, 0.03 
+    assert_in_delta @predictions.first.value(@compounds.first), 0.35, 0.1
+    assert_in_delta @predictions.first.confidence(@compounds.first), 0.38, 0.03 
     assert_equal 253, @predictions.first.neighbors(@compounds.first).size
     assert_equal 131, @model.features.size
     cleanup
@@ -107,15 +106,14 @@ class LazarTest < Test::Unit::TestCase
   def test_regression_mlr_prop_pc_model
      create_model :dataset_uri => @@regression_training_dataset.uri, :prediction_algorithm => "local_mlr_prop", :pc_type => "electronic"
      predict_compound  OpenTox::Compound.from_smiles("c1ccccc1NN")
-     assert_in_delta @predictions.first.confidence(@compounds.first), 0.45, 0.03
-     assert_in_delta @predictions.first.value(@compounds.first), 0.76, 0.03
+     assert_in_delta @predictions.first.confidence(@compounds.first), 0.38, 0.03
+     assert_in_delta @predictions.first.value(@compounds.first), 0.57, 0.03
      assert_equal 253, @predictions.first.neighbors(@compounds.first).size
      assert_equal 131, @model.features.size
   end
 
 
 
-
   ### Classification
  
   ## Nominal / Ordinal Features