1 files changed, 36 insertions, 4 deletions
diff --git a/test/nanoparticles.rb b/test/nanoparticles.rb
index 46073a9..31bb903 100644
--- a/test/nanoparticles.rb
+++ b/test/nanoparticles.rb
@@ -11,9 +11,38 @@ class NanoparticleTest  < MiniTest::Test
     p dataset_ids.collect{|d| {d => Dataset.find(d).name}}
     dataset_ids.collect do |d|
       d = Dataset.find(d)
-      p d.name
-      puts d.to_csv
+      #p d.name
+      #puts d.to_csv
+    end
+  end
+
+  def test_summaries
+    features = Feature.all.to_a
+    #p features.collect do |f|
+      #f if f.category == "TOX"
+    #end.to_a.flatten.size
+    toxcounts = {}
+    pccounts = {}
+    Nanoparticle.all.each do |np|
+      np.toxicities.each do |t,v|
+        toxcounts[t] ||= 0
+        toxcounts[t] += 1#v.uniq.size
+      end
+      np.physchem_descriptors.each do |t,v|
+        pccounts[t] ||= 0
+        pccounts[t] += 1#v.uniq.size
+      end
     end
+    #puts counts.keys.collect{|i| Feature.find(i)}.to_yaml
+    #pccounts.each{|e,n| p Feature.find(e),n if n > 100}
+    #p toxcounts.collect{|e,n| Feature.find(e).name if n > 1}.uniq
+    toxcounts.each{|e,n| p Feature.find(e),n if n > 100}
+  end
+
+
+  def test_import_ld
+    skip
+    dataset_ids = Import::Enanomapper.import_ld
   end
 
   def test_export
@@ -24,11 +53,14 @@ class NanoparticleTest  < MiniTest::Test
 
   def test_create_model
     training_dataset = Dataset.find_or_create_by(:name => "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles")
-    model = Model::LazarRegression.create(training_dataset, :prediction_algorithm => "OpenTox::Algorithm::Regression.local_physchem_regression", :neighbor_algorithm => "nanoparticle_neighbors")
+    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"})
     nanoparticle = training_dataset.nanoparticles[-34]
+    #p nanoparticle.neighbors
     prediction = model.predict nanoparticle
     p prediction
-    refute_nil prediction[:value]
+    #p prediction
+    #refute_nil prediction[:value]
   end
 
 end