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-rwxr-xr-xscripts/crossvalidation.rb6
1 files changed, 1 insertions, 5 deletions
diff --git a/scripts/crossvalidation.rb b/scripts/crossvalidation.rb
index 32b9950..e02c5ca 100755
--- a/scripts/crossvalidation.rb
+++ b/scripts/crossvalidation.rb
@@ -5,13 +5,11 @@ require 'yaml'
name = File.basename ARGV[0], ".csv"
file = File.join "data",ARGV[0]
dataset = Dataset.from_csv_file file
-#model = Model::LazarRegression.create(training_dataset: dataset)#, :prediction_algorithm => "OpenTox::Algorithm::Regression.local_fingerprint_regression")
-model = Model::LazarRegression.create(training_dataset: dataset, algorithms: { :similarity => { :min => 0.5 }})
+model = Model::LazarRegression.create(training_dataset: dataset, algorithms: { :prediction => {:method => "Algorithm::Caret.rf"}, :similarity => { :min => 0.5 }})
csv_file = File.join("data",ARGV[0].sub(/.csv/,"-cv-#{ARGV[1]}.csv"))
id_file = File.join("data",ARGV[0].sub(/.csv/,"-cv-#{ARGV[1]}.id"))
cv = Validation::RegressionCrossValidation.create model
File.open(id_file,"w+"){|f| f.puts cv.id}
-#cv = Validation::RegressionCrossValidation.first
p cv.id
data = []
cv.predictions.each do |cid,p|
@@ -29,5 +27,3 @@ CSV.open(csv_file,"w+") do |csv|
csv << ["SMILES","LOAEL_measured_median","LOAEL_predicted","Prediction_interval_low","Prediction_interval_high"]
data.each{|r| csv << r}
end
-=begin
-=end