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#!/usr/bin/env ruby
require "./config.rb"
require "bundler"
Bundler.require
DATA.each do |d|
puts ""
puts d
dataset_uri = dataset_uri(d)
prediction_feature = prediction_feature(d)
results = []
# skip_ratio = 0.8
# random_seed = 3
{
all_feature_dataset_uri(d)=>"all-pc-features",
# new_feature_dataset_uri(d)=>"new-pc-features",
# ob_feature_dataset_uri(d)=>"ob-pc-features",
}.each do |feature_dataset_uri,f_desc|
[ 0.65 ].each do |min_sim| # [0.2,0.4,0.6,0.8]
[ 0.0 ].each do |min_train| #[0.0,0.1,0.2]
puts "\nfeatures #{f_desc}"
puts "min_sim #{min_sim}"
puts "min_train #{min_train}"
params = { :dataset_uri => dataset_uri,
:algorithm_uri => File.join($algorithm[:uri],"lazar"),
:algorithm_params => "feature_dataset_uri=#{feature_dataset_uri};min_sim=#{min_sim};min_train_performance=#{min_train}",
:prediction_feature => prediction_feature,
:loo => "uniq", }
if defined?(skip_ratio)
params[:skip_ratio] = skip_ratio
params[:random_seed] = random_seed
end
cv_uri = wait_for_task(OpenTox::RestClientWrapper.post("http://localhost:8087/validation/crossvalidation/loo",params))
cv = OpenTox::Crossvalidation.find(cv_uri)
puts "Cross-Validation: "+cv.uri
r_square = cv.statistics.metadata[RDF::OT.regressionStatistics.to_s][RDF::OT.rSquare.to_s]
unpredicted = cv.statistics.metadata[RDF::OT.numUnpredicted.to_s]
puts "r^2 #{r_square}"
# r = OpenTox::CrossvalidationReport.create(cv.uri)
# puts "Report: "+r.uri
results << {:min_sim => min_sim, :min_train=>min_train, :cv => cv_uri, :r_square => r_square, :unpredicted => unpredicted, :features => f_desc}#, :report => r.uri}
puts results.to_yaml
end
end
end
end
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