updated for latest lazar changes; introduced 95% prediction interval

1 files changed, 10 insertions, 10 deletions

diff --git a/application.rb b/application.rb
index a4dc7c4..6c6a73f 100644
--- a/application.rb
+++ b/application.rb
@@ -32,16 +32,16 @@ end
 get '/predict/modeldetails/:model' do
   model = OpenTox::Model::Prediction.find params[:model]
   crossvalidations = model.crossvalidations
-  confidence_plots = crossvalidations.collect{|cv| [cv.id, cv.confidence_plot]}
-  confidence_plots.each do |confp|
-    File.open(File.join('public', "confp#{confp[0]}.png"), 'w'){|file| file.write(confp[1])} unless File.exists? File.join('public', "confp#{confp[0]}.png")
-  end
-  if model.regression?
-    correlation_plots = crossvalidations.collect{|cv| [cv.id, cv.correlation_plot]}
-    correlation_plots.each do |corrp|
-      File.open(File.join('public', "corrp#{corrp[0]}.png"), 'w'){|file| file.write(corrp[1])} unless File.exists? File.join('public', "corrp#{corrp[0]}.png")
-    end
-  end
+  #confidence_plots = crossvalidations.collect{|cv| [cv.id, cv.confidence_plot]}
+  #confidence_plots.each do |confp|
+  #  File.open(File.join('public', "confp#{confp[0]}.svg"), 'w'){|file| file.write(confp[1])} unless File.exists? File.join('public', "confp#{confp[0]}.svg")
+  #end
+  #if model.regression?
+  #  correlation_plots = crossvalidations.collect{|cv| [cv.id, cv.correlation_plot]}
+  #  correlation_plots.each do |corrp|
+  #    File.open(File.join('public', "corrp#{corrp[0]}.svg"), 'w'){|file| file.write(corrp[1])} unless File.exists? File.join('public', "corrp#{corrp[0]}.svg")
+  #  end
+  #end
 
   return haml :model_details, :layout=> false, :locals => {:model => model}
 end