require_relative "setup.rb" class NanoparticleModelTest < MiniTest::Test include OpenTox::Validation def setup @training_dataset = Dataset.where(:name => "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles").first unless @training_dataset Import::Enanomapper.import File.join(File.dirname(__FILE__),"data","enm") @training_dataset = Dataset.where(name: "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles").first end @prediction_feature = @training_dataset.features.select{|f| f["name"] == 'log2(Net cell association)'}.first end def test_nanoparticle_model assert true, @prediction_feature.measured model = Model::Lazar.create training_dataset: @training_dataset, prediction_feature: @prediction_feature refute_empty model.dependent_variables refute_empty model.descriptor_ids refute_empty model.independent_variables assert_equal "Algorithm::Caret.rf", model.algorithms[:prediction][:method] assert_equal "Algorithm::Similarity.weighted_cosine", model.algorithms[:similarity][:method] nanoparticle = @training_dataset.nanoparticles[-34] assert_includes nanoparticle.dataset_ids, @training_dataset.id prediction = model.predict nanoparticle refute_nil prediction[:value] assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions." prediction = model.predict @training_dataset.substances[14] refute_nil prediction[:value] assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions." model.delete end def test_import_ld skip # Ambit JSON-LD export defunct dataset_ids = Import::Enanomapper.import_ld end end