diff options
Diffstat (limited to 'test/lazar-physchem.rb')
-rw-r--r-- | test/lazar-physchem.rb | 22 |
1 files changed, 18 insertions, 4 deletions
diff --git a/test/lazar-physchem.rb b/test/lazar-physchem.rb index 066460a..d6f5894 100644 --- a/test/lazar-physchem.rb +++ b/test/lazar-physchem.rb @@ -4,19 +4,33 @@ class LazarPhyschemDescriptorTest < MiniTest::Test def test_lazar_pc_descriptors dataset = OpenTox::Dataset.new - dataset.upload File.join(DATA_DIR,"EPAFHM.mini.csv") + dataset.upload File.join(DATA_DIR,"EPAFHM.medi.csv") assert_equal dataset.uri.uri?, true + puts dataset.uri model_uri = OpenTox::Model::Lazar.create :dataset_uri => dataset.uri, :feature_generation_uri => File.join($algorithm[:uri],"descriptor","physchem"), :descriptors => [ "Openbabel.atoms", "Openbabel.bonds", "Openbabel.dbonds", "Openbabel.HBA1", "Openbabel.HBA2", "Openbabel.HBD", "Openbabel.MP", "Openbabel.MR", "Openbabel.MW", "Openbabel.nF", "Openbabel.sbonds", "Openbabel.tbonds", "Openbabel.TPSA"] - +# model_uri = "http://localhost:8085/model/437f008a-ca0f-4a85-83c1-d851ef2be60c" puts model_uri model = OpenTox::Model::Lazar.new model_uri assert_equal model_uri.uri?, true - prediction_uri = model.predict :compound_uri => "#{$compound[:uri]}/InChI=1S/C6H6/c1-2-4-6-5-3-1/h1-6H" + puts model.predicted_variable + + compound_uri = "#{$compound[:uri]}/InChI=1S/C13H8Cl2O2/c14-12-5-4-11(7-13(12)15)17-10-3-1-2-9(6-10)8-16/h1-8H" + prediction_uri = model.predict :compound_uri => compound_uri +# prediction_uri = "http://localhost:8083/dataset/1e2d48d2-f720-4575-b192-524586630ac3" + prediction = OpenTox::Dataset.new prediction_uri assert_equal prediction.uri.uri?, true - #TODO check correct prediction puts prediction.uri + + assert prediction.features.collect{|f| f.uri}.include?(model.predicted_variable),"prediction feature #{model.predicted_variable} not included prediction dataset #{prediction.features.collect{|f| f.uri}}" + assert prediction.compounds.collect{|c| c.uri}.include?(compound_uri),"compound #{compound_uri} not included in prediction dataset #{prediction.compounds.collect{|c| c.uri}}" + assert_equal 1,prediction.compound_indices(compound_uri).size,"compound should only be once in the dataset" + + predicted_value = prediction.data_entry_value(prediction.compound_indices(compound_uri).first,model.predicted_variable) #[model.predicted_variable] + puts predicted_value + assert predicted_value > 0.01 + assert predicted_value < 0.1 end end |