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-rw-r--r--test/model-nanoparticle.rb64
1 files changed, 64 insertions, 0 deletions
diff --git a/test/model-nanoparticle.rb b/test/model-nanoparticle.rb
index 7244a29..88032bc 100644
--- a/test/model-nanoparticle.rb
+++ b/test/model-nanoparticle.rb
@@ -31,6 +31,70 @@ class NanoparticleModelTest < MiniTest::Test
model.delete
end
+ def test_nanoparticle_fingerprint_model
+ assert true, @prediction_feature.measured
+ algorithms = {
+ :descriptors => {
+ :method => "fingerprint",
+ :type => "MP2D",
+ },
+ :similarity => {
+ :method => "Algorithm::Similarity.tanimoto",
+ :min => 0.1
+ },
+ :feature_selection => nil
+ }
+ model = Model::Lazar.create training_dataset: @training_dataset, prediction_feature: @prediction_feature, algorithms: algorithms
+ 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.tanimoto", 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_nanoparticle_calculated_properties_model
+ skip "Nanoparticle calculate_properties similarity not yet implemented"
+ assert true, @prediction_feature.measured
+ algorithms = {
+ :descriptors => {
+ :method => "calculate_properties",
+ :features => PhysChem.openbabel_descriptors,
+ },
+ :similarity => {
+ :method => "Algorithm::Similarity.weighted_cosine",
+ :min => 0.5
+ },
+ :prediction => {
+ :method => "Algorithm::Regression.weighted_average",
+ },
+ }
+ model = Model::Lazar.create training_dataset: @training_dataset, prediction_feature: @prediction_feature, algorithms: algorithms
+ p model
+ 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", 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