probability plot for classification

2 files changed, 7 insertions, 3 deletions

diff --git a/test/descriptor.rb b/test/descriptor.rb
index e5d8ff9..42d4661 100644
--- a/test/descriptor.rb
+++ b/test/descriptor.rb
@@ -12,7 +12,9 @@ class DescriptorTest < MiniTest::Test
 
   def test_smarts
     c = OpenTox::Compound.from_smiles "N=C=C1CCC(=F=FO)C1"
-    File.open("tmp.png","w+"){|f| f.puts c.png}
+    File.open("/tmp/tmp.png","w+"){|f| f.puts c.png}
+    assert_match /^PNG/,`file -b /tmp/tmp.png`
+    File.delete "/tmp/tmp.png"
     s = Smarts.find_or_create_by(:smarts => "F=F")
     result = c.smarts_match [s]
     assert_equal [1], result
diff --git a/test/validation-classification.rb b/test/validation-classification.rb
index c93e71f..fb4c3e7 100644
--- a/test/validation-classification.rb
+++ b/test/validation-classification.rb
@@ -11,8 +11,10 @@ class ValidationClassificationTest < MiniTest::Test
     cv = ClassificationCrossValidation.create model
     assert cv.accuracy > 0.7, "Accuracy (#{cv.accuracy}) should be larger than 0.7, this may occur due to an unfavorable training/test set split"
     assert cv.weighted_accuracy > cv.accuracy, "Weighted accuracy (#{cv.weighted_accuracy}) should be larger than accuracy (#{cv.accuracy})."
-    #p cv
-    #File.open("tmp.pdf","w+"){|f| f.puts cv.probability_plot}
+    File.open("/tmp/tmp.pdf","w+"){|f| f.puts cv.probability_plot(format:"pdf")}
+    p `file -b /tmp/tmp.pdf`
+    File.open("/tmp/tmp.png","w+"){|f| f.puts cv.probability_plot(format:"png")}
+    p `file -b /tmp/tmp.png`
   end
 
   # parameters