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author | Christoph Helma <helma@in-silico.ch> | 2016-05-09 15:51:50 +0200 |
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committer | Christoph Helma <helma@in-silico.ch> | 2016-05-09 15:51:50 +0200 |
commit | a18218bd1586edd8097729d242abb8947d6988df (patch) | |
tree | e94ac3bffb25751ed7e11a626ddde8b96f1de816 /test/prediction_models.rb | |
parent | e2e7045c3efeb59dd650b78772009281e7fa56a0 (diff) | |
parent | 0b416e3b55a9256915a2427afe5bc112bcabc203 (diff) |
development branch mergedv0.9.3
Diffstat (limited to 'test/prediction_models.rb')
-rw-r--r-- | test/prediction_models.rb | 12 |
1 files changed, 2 insertions, 10 deletions
diff --git a/test/prediction_models.rb b/test/prediction_models.rb index 1b9e788..a2e5fe2 100644 --- a/test/prediction_models.rb +++ b/test/prediction_models.rb @@ -4,22 +4,14 @@ class PredictionModelTest < MiniTest::Test def test_prediction_model pm = Model::Prediction.from_csv_file "#{DATA_DIR}/hamster_carcinogenicity.csv" - #dataset = Dataset.from_csv_file "#{DATA_DIR}/hamster_carcinogenicity.csv" - #model = Model::LazarFminerClassification.create dataset - #cv = ClassificationCrossValidation.create model - #metadata = JSON.parse(File.read("#{DATA_DIR}/hamster_carcinogenicity.json")) - - #metadata[:model_id] = model.id - #metadata[:crossvalidation_id] = cv.id - #pm = Model::Prediction.new(metadata) - #pm.save [:endpoint,:species,:source].each do |p| refute_empty pm[p] end assert pm.classification? refute pm.regression? pm.crossvalidations.each do |cv| - assert cv.accuracy > 0.75 + p cv + assert cv.accuracy > 0.74, "Crossvalidation accuracy (#{cv.accuracy}) should be larger than 0.75. This may happen due to an unfavorable training/test set split." end prediction = pm.predict Compound.from_smiles("CCCC(NN)C") assert_equal "true", prediction[:value] |