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-rw-r--r--test/nanoparticles.rb11
1 files changed, 10 insertions, 1 deletions
diff --git a/test/nanoparticles.rb b/test/nanoparticles.rb
index 2082ec4..e1b8788 100644
--- a/test/nanoparticles.rb
+++ b/test/nanoparticles.rb
@@ -35,13 +35,22 @@ class NanoparticleTest < MiniTest::Test
def test_validate_model
training_dataset = Dataset.find_or_create_by(:name => "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles")
feature = Feature.find_or_create_by(name: "7.99 Toxicity (other) ICP-AES", category: "TOX", unit: "mL/ug(Mg)")
- #model = Model::LazarRegression.create(feature, training_dataset, {:prediction_algorithm => "OpenTox::Algorithm::Regression.local_physchem_regression", :neighbor_algorithm => "nanoparticle_neighbors"})
model = Model::LazarRegression.create(feature, training_dataset, {:prediction_algorithm => "OpenTox::Algorithm::Regression.local_weighted_average", :neighbor_algorithm => "nanoparticle_neighbors"})
p model
cv = RegressionCrossValidation.create model
p cv
end
+ def test_validate_pls_model
+ training_dataset = Dataset.find_or_create_by(:name => "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles")
+ feature = Feature.find_or_create_by(name: "7.99 Toxicity (other) ICP-AES", category: "TOX", unit: "mL/ug(Mg)")
+ model = Model::LazarRegression.create(feature, training_dataset, {:prediction_algorithm => "OpenTox::Algorithm::Regression.local_physchem_regression", :neighbor_algorithm => "nanoparticle_neighbors"})
+ #model = Model::LazarRegression.create(feature, training_dataset, {:prediction_algorithm => "OpenTox::Algorithm::Regression.local_weighted_average", :neighbor_algorithm => "nanoparticle_neighbors"})
+ p model
+ cv = RegressionCrossValidation.create model
+ p cv
+ end
+
def test_export
skip
Dataset.all.each do |d|