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diff --git a/test/lazar-long.rb b/test/lazar-long.rb
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+require_relative "setup.rb"
+
+class LazarExtendedTest < MiniTest::Test
+
+ def test_lazar_bbrc_ham_minfreq
+ dataset = OpenTox::Dataset.from_csv_file File.join(DATA_DIR,"hamster_carcinogenicity.csv")
+ model = OpenTox::Model::Lazar.create dataset, OpenTox::Algorithm::Fminer.bbrc(dataset, :min_frequency => 5)
+ feature_dataset = OpenTox::Dataset.find model.feature_dataset_id
+ assert_equal dataset.compounds.size, feature_dataset.compounds.size
+ assert_equal 41, feature_dataset.features.size
+ assert_equal 'N-C=N', feature_dataset.features.first.smarts
+ compound = OpenTox::Compound.from_inchi("InChI=1S/C6H6/c1-2-4-6-5-3-1/h1-6H")
+ prediction = model.predict compound
+ assert_equal "false", prediction[:value]
+ assert_equal 0.12380952380952381, prediction[:confidence]
+ dataset.delete
+ model.delete
+ feature_dataset.delete
+ end
+
+ def test_lazar_bbrc_large_ds
+ # TODO fminer crashes with these settings
+ skip "it seems that fminer aborts without further notice"
+ dataset = OpenTox::Dataset.from_csv_file File.join(DATA_DIR,"multi_cell_call_no_dup.csv")
+ feature_dataset = OpenTox::Algorithm::Fminer.bbrc dataset#, :min_frequency => 15)
+ model = OpenTox::Model::Lazar.create dataset, feature_dataset
+ model.save
+ p model.id
+ feature_dataset = OpenTox::CalculatedDataset.find model.feature_dataset_id
+ assert_equal dataset.compounds.size, feature_dataset.compounds.size
+ assert_equal 52, feature_dataset.features.size
+ assert_equal '[#17&A]-[#6&A]', feature_dataset.features.first.title
+ compound = OpenTox::Compound.from_inchi("InChI=1S/C10H9NO2S/c1-8-2-4-9(5-3-8)13-6-10(12)11-7-14/h2-5H,6H2,1H3")
+ prediction_dataset = model.predict compound
+ prediction = prediction_dataset.data_entries.first
+ assert_in_delta 0.025, prediction[:confidence], 0.001
+ #assert_equal 0.025885845574483608, prediction[:confidence]
+ # with compound change in training_dataset see:
+ # https://github.com/opentox/opentox-test/commit/0e78c9c59d087adbd4cc58bab60fb29cbe0c1da0
+ #assert_equal 0.02422364949075546, prediction[:confidence]
+ dataset.delete
+ model.delete
+ feature_dataset.delete
+ prediction_dataset.delete
+ end
+
+ def test_lazar_kazius
+ t = Time.now
+ dataset = Dataset.from_csv_file File.join(DATA_DIR,"kazius.csv")
+ p "Dataset upload: #{Time.now-t}"
+ t = Time.now
+ feature_dataset = Algorithm::Fminer.bbrc(dataset, :min_frequency => 100)
+ p "Feature mining: #{Time.now-t}"
+ t = Time.now
+ assert_equal feature_dataset.compounds.size, dataset.compounds.size
+ model = Model::Lazar.create dataset, feature_dataset
+=begin
+=end
+ #model = Model::Lazar.find('55bcf5bf7a7838381200017e')
+ #p model.id
+ #prediction_times = []
+ 2.times do
+ compound = Compound.from_smiles("Clc1ccccc1NN")
+ prediction = model.predict compound
+ assert_equal "1", prediction[:value]
+ assert_in_delta 0.019858401199860445, prediction[:confidence], 0.001
+ end
+ #dataset.delete
+ #feature_dataset.delete
+ end
+
+end