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require_relative "setup.rb"
class ExperimentTest < MiniTest::Test
def test_regression_experiment
datasets = [
"EPAFHM.medi.csv",
#"EPAFHM.csv",
#"FDA_v3b_Maximum_Recommended_Daily_Dose_mmol.csv",
"LOAEL_mmol_corrected_smiles.csv"
]
experiment = Experiment.create(
:name => "Default regression for datasets #{datasets}.",
:dataset_ids => datasets.collect{|d| Dataset.from_csv_file(File.join(DATA_DIR, d)).id},
:model_settings => [
{
:algorithm => "OpenTox::Model::LazarRegression",
}
]
)
experiment.run
puts experiment.report.to_yaml
assert_equal datasets.size, experiment.results.size
experiment.results.each do |dataset_id, result|
assert_equal 1, result.size
result.each do |r|
assert_kind_of BSON::ObjectId, r[:model_id]
assert_kind_of BSON::ObjectId, r[:repeated_crossvalidation_id]
end
end
end
def test_classification_experiment
datasets = [ "hamster_carcinogenicity.csv" ]
experiment = Experiment.create(
:name => "Fminer vs fingerprint classification for datasets #{datasets}.",
:dataset_ids => datasets.collect{|d| Dataset.from_csv_file(File.join(DATA_DIR, d)).id},
:model_settings => [
{
:algorithm => "OpenTox::Model::LazarClassification",
},{
:algorithm => "OpenTox::Model::LazarClassification",
:neighbor_algorithm_parameter => {:min_sim => 0.3}
},
#{
#:algorithm => "OpenTox::Model::LazarFminerClassification",
#}
]
)
experiment.run
=begin
experiment = Experiment.find "55f944a22b72ed7de2000000"
=end
puts experiment.report.to_yaml
experiment.results.each do |dataset_id, result|
assert_equal 2, result.size
result.each do |r|
assert_kind_of BSON::ObjectId, r[:model_id]
assert_kind_of BSON::ObjectId, r[:repeated_crossvalidation_id]
end
end
end
end
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