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authorChristoph Helma <helma@in-silico.ch>2016-04-28 12:19:48 +0200
committerChristoph Helma <helma@in-silico.ch>2016-04-28 12:19:48 +0200
commit79238bddb59607aa9f759caa9e3c8db176709703 (patch)
treee9c28634812a868215f742f333055d5f3030e0ac /test
parentacf19c81e345ceccde834653a0f0edce27827958 (diff)
compound validations fixed
Diffstat (limited to 'test')
-rw-r--r--test/regression.rb9
-rw-r--r--test/setup.rb4
2 files changed, 6 insertions, 7 deletions
diff --git a/test/regression.rb b/test/regression.rb
index ad460b5..6d461ed 100644
--- a/test/regression.rb
+++ b/test/regression.rb
@@ -4,7 +4,7 @@ class LazarRegressionTest < MiniTest::Test
def test_weighted_average
training_dataset = Dataset.from_csv_file "#{DATA_DIR}/EPAFHM.medi.csv"
- model = Model::LazarRegression.create training_dataset, {:neighbor_algorithm_parameters => {:min_sim => 0}, :prediction_algorithm => "OpenTox::Algorithm::Regression.local_weighted_average"}
+ model = Model::LazarRegression.create training_dataset.features.first, training_dataset, {:neighbor_algorithm_parameters => {:min_sim => 0}, :prediction_algorithm => "OpenTox::Algorithm::Regression.local_weighted_average"}
compound = Compound.from_smiles "CC(C)(C)CN"
prediction = model.predict compound
assert_equal 7.2, prediction[:value].round(1)
@@ -13,7 +13,7 @@ class LazarRegressionTest < MiniTest::Test
def test_mpd_fingerprints
training_dataset = Dataset.from_csv_file "#{DATA_DIR}/EPAFHM.medi.csv"
- model = Model::LazarRegression.create training_dataset
+ model = Model::LazarRegression.create training_dataset.features.first, training_dataset
model.neighbor_algorithm_parameters[:type] = "MP2D"
compound = Compound.from_smiles "CCCSCCSCC"
prediction = model.predict compound
@@ -23,10 +23,9 @@ class LazarRegressionTest < MiniTest::Test
def test_local_fingerprint_regression
training_dataset = Dataset.from_csv_file "#{DATA_DIR}/EPAFHM.medi.csv"
- model = Model::LazarRegression.create(training_dataset, :prediction_algorithm => "OpenTox::Algorithm::Regression.local_fingerprint_regression")
+ model = Model::LazarRegression.create(training_dataset.features.first, training_dataset, :prediction_algorithm => "OpenTox::Algorithm::Regression.local_fingerprint_regression")
compound = Compound.from_smiles "NC(=O)OCCC"
prediction = model.predict compound
- p prediction
refute_nil prediction[:value]
refute_nil prediction[:prediction_interval]
refute_empty prediction[:neighbors]
@@ -34,7 +33,7 @@ class LazarRegressionTest < MiniTest::Test
def test_local_physchem_regression
training_dataset = Dataset.from_csv_file "#{DATA_DIR}/EPAFHM.medi.csv"
- model = Model::LazarRegression.create(training_dataset, :prediction_algorithm => "OpenTox::Algorithm::Regression.local_physchem_regression")
+ model = Model::LazarRegression.create(training_dataset.features.first, training_dataset, :prediction_algorithm => "OpenTox::Algorithm::Regression.local_physchem_regression")
compound = Compound.from_smiles "NC(=O)OCCC"
prediction = model.predict compound
refute_nil prediction[:value]
diff --git a/test/setup.rb b/test/setup.rb
index 6c97282..e7c32b4 100644
--- a/test/setup.rb
+++ b/test/setup.rb
@@ -5,5 +5,5 @@ require_relative '../lib/lazar.rb'
include OpenTox
TEST_DIR ||= File.expand_path(File.dirname(__FILE__))
DATA_DIR ||= File.join(TEST_DIR,"data")
-#$mongo.database.drop
-#$gridfs = $mongo.database.fs
+$mongo.database.drop
+$gridfs = $mongo.database.fs