1 files changed, 0 insertions, 50 deletions
diff --git a/test/lazar-fminer.rb b/test/lazar-fminer.rb
deleted file mode 100644
index 41e1071..0000000
--- a/test/lazar-fminer.rb
+++ /dev/null
@@ -1,50 +0,0 @@
-require_relative "setup.rb"
-
-class LazarFminerTest < MiniTest::Test
-
-  def test_lazar_fminer
-    training_dataset = Dataset.from_csv_file File.join(DATA_DIR,"hamster_carcinogenicity.csv")
-    model = Model::LazarFminerClassification.create training_dataset#, feature_dataset
-    feature_dataset = Dataset.find model.neighbor_algorithm_parameters[:feature_dataset_id]
-    assert_equal training_dataset.compounds.size, feature_dataset.compounds.size
-    #TODO check fminer features, see fminer.rb
-    #assert_equal 54, feature_dataset.features.size
-    feature_dataset.data_entries.each do |e|
-      assert_equal e.size, feature_dataset.features.size
-    end
-    #assert_equal 'C-C-C=C', feature_dataset.features.first.smarts
-
-    [ {
-      :compound => OpenTox::Compound.from_inchi("InChI=1S/C6H6/c1-2-4-6-5-3-1/h1-6H"),
-      :prediction => "false",
-      :confidence => 0.25281385281385277,
-      :nr_neighbors => 11
-    },{
-      :compound => OpenTox::Compound.from_smiles("c1ccccc1NN"),
-      :prediction => "false",
-      :confidence => 0.3639589577089577,
-      :nr_neighbors => 14
-    }, {
-      :compound => Compound.from_smiles('OCCCCCCCC\C=C/CCCCCCCC'),
-      :prediction => "false",
-      :confidence => 0.5555555555555556,
-      :nr_neighbors => 1
-    }].each do |example|
-      prediction = model.predict example[:compound]
-
-      assert_equal example[:prediction], prediction[:value]
-      #assert_equal example[:confidence], prediction[:confidence]
-      #assert_equal example[:nr_neighbors], prediction[:neighbors].size
-    end
-
-    # make a dataset prediction
-    compound_dataset = OpenTox::Dataset.from_csv_file File.join(DATA_DIR,"EPAFHM.mini.csv")
-    prediction = model.predict compound_dataset
-    assert_equal compound_dataset.compounds, prediction.compounds
-
-    assert_equal "Cound not find similar compounds.", prediction.data_entries[7][2]
-    assert_equal "measured", prediction.data_entries[14][1]
-    # cleanup
-    [training_dataset,model,feature_dataset,compound_dataset].each{|o| o.delete}
-  end
-end