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authorChristoph Helma <helma@in-silico.ch>2011-04-05 19:05:59 +0200
committerChristoph Helma <helma@in-silico.ch>2011-04-05 19:05:59 +0200
commit4a3babce16c811ba3044c460533707b469b3c263 (patch)
treed5c690fadabc7375300f1a3eda92c8beecb223d3
parent16fdf49682898277566978a11df5e4d1ca7011c3 (diff)
lazar model from ambit datasets
-rw-r--r--algorithm.rb3
-rw-r--r--feature.rb2
-rw-r--r--fminer.rb23
-rw-r--r--lazar.rb117
4 files changed, 97 insertions, 48 deletions
diff --git a/algorithm.rb b/algorithm.rb
index 650a6df..772979b 100644
--- a/algorithm.rb
+++ b/algorithm.rb
@@ -20,8 +20,7 @@ class AlgorithmTest < Test::Unit::TestCase
def test_metadata
@algorithms.each do |algorithm|
- #puts algorithm
- validate_owl(algorithm, @@subjectid)
+ validate_owl(algorithm, @@subjectid) unless CONFIG[:services]["opentox-algorithm"].match(/localhost/)
end
end
diff --git a/feature.rb b/feature.rb
index 7ed600c..523688f 100644
--- a/feature.rb
+++ b/feature.rb
@@ -25,7 +25,7 @@ class FeatureTest < Test::Unit::TestCase
def test_owl
#@features.each do |uri|
- validate_owl @features.first, @@subjectid
+ validate_owl @features.first, @@subjectid unless CONFIG[:services]["opentox-dataset"].match(/localhost/)
# Ambit does not validate
#end
end
diff --git a/fminer.rb b/fminer.rb
index 362bde9..3e6dd0d 100644
--- a/fminer.rb
+++ b/fminer.rb
@@ -12,27 +12,29 @@ class FminerTest < Test::Unit::TestCase
dataset_uri = OpenTox::Algorithm::Fminer::BBRC.new.run({:dataset_uri => @@classification_training_dataset.uri, :prediction_feature => feature, :subjectid => @@subjectid}).to_s
d =OpenTox::Dataset.new dataset_uri, @@subjectid
d.load_features(@@subjectid)
- assert_equal 41, d.features.size
+ #puts dataset_uri
+ assert_equal 52, d.features.size
#validate_owl
d.delete(@@subjectid)
end
- def test_last
- feature = @@classification_training_dataset.features.keys.first
- dataset_uri = OpenTox::Algorithm::Fminer::LAST.new.run({:dataset_uri => @@classification_training_dataset.uri, :prediction_feature => feature, :subjectid => @@subjectid}).to_s
+ def test_regression_bbrc
+ feature = File.join @@regression_training_dataset.uri,"feature/LC50_mmol"
+ dataset_uri = OpenTox::Algorithm::Fminer::BBRC.new.run({:dataset_uri => @@regression_training_dataset.uri, :prediction_feature => feature, :subjectid => @@subjectid}).to_s
d =OpenTox::Dataset.new dataset_uri, @@subjectid
d.load_features(@@subjectid)
- assert_equal 35, d.features.size
- #validate_owl
+ assert_equal 1354, d.features.size
d.delete(@@subjectid)
end
- def test_regression_bbrc
- feature = File.join @@regression_training_dataset.uri,"feature/LC50_mmol"
- dataset_uri = OpenTox::Algorithm::Fminer::BBRC.new.run({:dataset_uri => @@regression_training_dataset.uri, :prediction_feature => feature, :subjectid => @@subjectid}).to_s
+=begin
+ def test_last
+ feature = @@classification_training_dataset.features.keys.first
+ dataset_uri = OpenTox::Algorithm::Fminer::LAST.new.run({:dataset_uri => @@classification_training_dataset.uri, :prediction_feature => feature, :subjectid => @@subjectid}).to_s
d =OpenTox::Dataset.new dataset_uri, @@subjectid
d.load_features(@@subjectid)
- assert_equal 225, d.features.size
+ assert_equal 35, d.features.size
+ #validate_owl
d.delete(@@subjectid)
end
@@ -44,7 +46,6 @@ class FminerTest < Test::Unit::TestCase
assert_equal 16, d.features.size
d.delete(@@subjectid)
end
-=begin
=end
end
diff --git a/lazar.rb b/lazar.rb
index 1eb7645..512a614 100644
--- a/lazar.rb
+++ b/lazar.rb
@@ -8,62 +8,111 @@ class Float
end
end
-class LazarRegressionTest < Test::Unit::TestCase
+class LazarTest < Test::Unit::TestCase
+
+ def setup
+ @predictions = []
+ @models = []
+ end
+
+ def teardown
+ @predictions.each {|p| p.delete(@@subjectid)}
+ @models.each {|m| m.delete(@@subjectid)}
+ end
=begin
=end
def test_create_regression_model
model_uri = OpenTox::Algorithm::Lazar.new.run({:dataset_uri => @@regression_training_dataset.uri, :subjectid => @@subjectid}).to_s
- @lazar = OpenTox::Model::Lazar.find model_uri, @@subjectid
- assert_equal 225, @lazar.features.size
+ lazar = OpenTox::Model::Lazar.find model_uri, @@subjectid
+ @models << lazar
+ assert_equal 1354, lazar.features.size
compound = OpenTox::Compound.from_smiles("c1ccccc1NN")
- prediction_uri = @lazar.run(:compound_uri => compound.uri, :subjectid => @@subjectid).to_s
- @prediction = OpenTox::LazarPrediction.find(prediction_uri, @@subjectid)
- assert_equal @prediction.value(compound).round_to(4), 0.1618.round_to(4)
- assert_equal @prediction.confidence(compound).round_to(4), 0.6114.round_to(4)
- assert_equal @prediction.neighbors(compound).size, 81
- @prediction.delete(@@subjectid)
- @lazar.delete(@@subjectid)
+ prediction_uri = lazar.run(:compound_uri => compound.uri, :subjectid => @@subjectid).to_s
+ prediction = OpenTox::LazarPrediction.find(prediction_uri, @@subjectid)
+ @predictions << prediction
+ assert_equal prediction.value(compound).round_to(4), 0.17.round_to(4)
+ assert_equal prediction.confidence(compound).round_to(4), 0.5697.round_to(4)
+ assert_equal prediction.neighbors(compound).size, 77
end
-end
-class LazarClassificationTest < Test::Unit::TestCase
+
def test_classification_model
# create model
model_uri = OpenTox::Algorithm::Lazar.new.run({:dataset_uri => @@classification_training_dataset.uri, :subjectid => @@subjectid}).to_s
- @lazar = OpenTox::Model::Lazar.find model_uri, @@subjectid
- assert_equal @lazar.features.size, 41
+ lazar = OpenTox::Model::Lazar.find model_uri, @@subjectid
+ @models << lazar
+ assert_equal lazar.features.size, 52
# single prediction
compound = OpenTox::Compound.from_smiles("c1ccccc1NN")
- prediction_uri = @lazar.run(:compound_uri => compound.uri, :subjectid => @@subjectid)
- @prediction = OpenTox::LazarPrediction.find(prediction_uri, @@subjectid)
- assert_equal @prediction.value(compound), false
- assert_equal @prediction.confidence(compound).round_to(4), 0.3005.round_to(4)
- assert_equal @prediction.neighbors(compound).size, 15
- @prediction.delete(@@subjectid)
+ prediction_uri = lazar.run(:compound_uri => compound.uri, :subjectid => @@subjectid)
+ prediction = OpenTox::LazarPrediction.find(prediction_uri, @@subjectid)
+ @predictions << prediction
+ assert_equal prediction.value(compound), false
+ assert_equal prediction.confidence(compound).round_to(4), 0.3067.round_to(4)
+ assert_equal prediction.neighbors(compound).size, 14
# dataset activity
compound = OpenTox::Compound.from_smiles("CNN")
- prediction_uri = @lazar.run(:compound_uri => compound.uri, :subjectid => @@subjectid)
- @prediction = OpenTox::LazarPrediction.find prediction_uri, @@subjectid
- assert !@prediction.measured_activities(compound).empty?
- assert_equal @prediction.measured_activities(compound).first, true
- assert @prediction.value(compound).nil?
- @prediction.delete(@@subjectid)
+ prediction_uri = lazar.run(:compound_uri => compound.uri, :subjectid => @@subjectid)
+ prediction = OpenTox::LazarPrediction.find prediction_uri, @@subjectid
+ @predictions << prediction
+ assert !prediction.measured_activities(compound).empty?
+ assert_equal prediction.measured_activities(compound).first, true
+ assert prediction.value(compound).nil?
# dataset prediction
test_dataset = OpenTox::Dataset.create_from_csv_file("data/multicolumn.csv", @@subjectid)
- @prediction = OpenTox::LazarPrediction.find @lazar.run(:dataset_uri => test_dataset.uri, :subjectid => @@subjectid), @@subjectid
- assert_equal @prediction.compounds.size, 4
- compound = OpenTox::Compound.new "http://ot-dev.in-silico.ch/compound/InChI=1S/C15H13NO/c1-10(17)16-13-6-7-15-12(9-13)8-11-4-2-3-5-14(11)15/h2-7,9H,8H2,1H3,(H,16,17)"
- assert_equal @prediction.value(compound), nil
- assert_equal @prediction.measured_activities(compound).first, true
- @prediction.delete(@@subjectid)
- @lazar.delete(@@subjectid)
+ prediction = OpenTox::LazarPrediction.find lazar.run(:dataset_uri => test_dataset.uri, :subjectid => @@subjectid), @@subjectid
+ @predictions << prediction
+ assert_equal prediction.compounds.size, 4
+ compound = OpenTox::Compound.from_smiles "CC(=Nc1ccc2c(c1)Cc1ccccc21)O"
+ assert_equal prediction.value(compound), nil
+ assert_equal prediction.measured_activities(compound).first, true
end
+ def test_ambit_classification_model
+
+ # create model
+ dataset_uri = "http://apps.ideaconsult.net:8080/ambit2/dataset/9"
+ feature_uri ="http://apps.ideaconsult.net:8080/ambit2/feature/21573"
+ #model_uri = OpenTox::Algorithm::Lazar.new.run({:dataset_uri => dataset_uri, :prediction_feature => feature_uri}).to_s
+ #lazar = OpenTox::Model::Lazar.find model_uri
+ model_uri = OpenTox::Algorithm::Lazar.new.run({:dataset_uri => dataset_uri, :prediction_feature => feature_uri, :subjectid => @@subjectid}).to_s
+ lazar = OpenTox::Model::Lazar.find model_uri, @@subjectid
+ assert_equal lazar.features.size, 6609
+ #puts "Model: #{lazar.uri}"
+ #puts lazar.features.size
+
+ # single prediction
+ compound = OpenTox::Compound.from_smiles("c1ccccc1NN")
+ #prediction_uri = lazar.run(:compound_uri => compound.uri)
+ #prediction = OpenTox::LazarPrediction.find(prediction_uri)
+ prediction_uri = lazar.run(:compound_uri => compound.uri, :subjectid => @@subjectid)
+ prediction = OpenTox::LazarPrediction.find(prediction_uri, @@subjectid)
+ #puts "Prediction: #{prediction.uri}"
+ #puts prediction.value(compound)
+ assert_equal prediction.value(compound), true
+ #puts @prediction.confidence(compound).round_to(4)
+ #assert_equal @prediction.confidence(compound).round_to(4), 0.3005.round_to(4)
+ #assert_equal @prediction.neighbors(compound).size, 15
+ #@prediction.delete(@@subjectid)
+
+ # dataset activity
+ #compound = OpenTox::Compound.from_smiles("CNN")
+ #prediction_uri = @lazar.run(:compound_uri => compound.uri, :subjectid => @@subjectid)
+ #@prediction = OpenTox::LazarPrediction.find prediction_uri, @@subjectid
+ #assert !@prediction.measured_activities(compound).empty?
+ #assert_equal @prediction.measured_activities(compound).first, true
+ #assert @prediction.value(compound).nil?
+ #@prediction.delete(@@subjectid)
+
+ # dataset prediction
+ #@lazar.delete(@@subjectid)
+ end
+
+end
=begin
=end
-end