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author | Christoph Helma <helma@in-silico.ch> | 2016-11-11 17:19:13 +0100 |
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committer | Christoph Helma <helma@in-silico.ch> | 2016-11-11 17:19:13 +0100 |
commit | 99c42f76b02f9084d0757eb0c52b4a55fa295a95 (patch) | |
tree | cc878fc809858e7acd03c5d1ec5504ee0331ed05 /test/validation-nanoparticle.rb | |
parent | b6116bc4705066da30668ff3370f3b1c307e44e7 (diff) |
p-chem regression and enm import fixed
Diffstat (limited to 'test/validation-nanoparticle.rb')
-rw-r--r-- | test/validation-nanoparticle.rb | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/test/validation-nanoparticle.rb b/test/validation-nanoparticle.rb index 9351e1b..85392a1 100644 --- a/test/validation-nanoparticle.rb +++ b/test/validation-nanoparticle.rb @@ -11,7 +11,8 @@ class NanoparticleValidationTest < MiniTest::Test def test_validate_default_nanoparticle_model model = Model::Lazar.create training_dataset: @training_dataset, prediction_feature: @prediction_feature cv = CrossValidation.create model - #File.open("tmp.pdf","w+"){|f| f.puts cv.correlation_plot} + p cv.id + File.open("tmp.pdf","w+"){|f| f.puts cv.correlation_plot format:"pdf"} refute_nil cv.r_squared refute_nil cv.rmse end @@ -30,6 +31,8 @@ class NanoparticleValidationTest < MiniTest::Test model = Model::Lazar.create prediction_feature: @prediction_feature, training_dataset: @training_dataset, algorithms: algorithms assert_equal "Algorithm::Caret.pls", model.algorithms[:prediction][:method] cv = CrossValidation.create model + p cv.id + File.open("tmp2.pdf","w+"){|f| f.puts cv.correlation_plot format:"pdf"} refute_nil cv.r_squared refute_nil cv.rmse end |