1 files changed, 0 insertions, 61 deletions
diff --git a/lib/leave-one-out-validation.rb b/lib/leave-one-out-validation.rb
deleted file mode 100644
index 7d73b89..0000000
--- a/lib/leave-one-out-validation.rb
+++ /dev/null
@@ -1,61 +0,0 @@
-module OpenTox
-
-  module Validation
-
-    # Leave one out validation
-    class LeaveOneOut < Validation
-
-      # Create a leave one out validation
-      # @param [OpenTox::Model::Lazar]
-      # @return [OpenTox::Validation::LeaveOneOut]
-      def self.create model
-        raise ArgumentError, "Cannot create leave one out validation for models with supervised feature selection. Please use crossvalidation instead." if model.algorithms[:feature_selection]
-        $logger.debug "#{model.name}: LOO validation started"
-        t = Time.now
-        model.training_dataset.features.collect{|f| f.class}.include?(NominalBioActivity) ? klass = ClassificationLeaveOneOut : klass = RegressionLeaveOneOut
-        loo = klass.new :model_id => model.id
-        predictions = model.predict model.training_dataset.substances
-        predictions.each{|cid,p| p.delete(:neighbors)}
-        predictions.each do |cid,prediction|
-          prediction[:measurements] = model.training_dataset.values(cid, prediction[:prediction_feature_id]) if prediction[:value]
-          predictions.delete(cid) unless prediction[:value] and prediction[:measurements]
-        end
-        predictions.select!{|cid,p| p[:value] and p[:measurements]}
-        loo.predictions = predictions
-        loo.statistics
-        $logger.debug "#{model.name}, LOO validation:  #{Time.now-t} seconds"
-        loo
-      end
-
-    end
-
-    # Leave one out validation for classification models
-    class ClassificationLeaveOneOut < LeaveOneOut
-      include ClassificationStatistics
-      field :accept_values, type: Array
-      field :confusion_matrix, type: Hash
-      field :weighted_confusion_matrix, type: Hash
-      field :accuracy, type: Hash
-      field :weighted_accuracy, type: Hash
-      field :true_rate, type: Hash
-      field :predictivity, type: Hash
-      field :nr_predictions, type: Hash
-      field :probability_plot_id, type: BSON::ObjectId
-    end
-    
-    # Leave one out validation for regression models
-    class RegressionLeaveOneOut  < LeaveOneOut
-      include RegressionStatistics
-      field :rmse, type: Hash
-      field :mae, type: Hash
-      field :r_squared, type: Hash
-      field :within_prediction_interval, type: Hash
-      field :out_of_prediction_interval, type: Hash
-      field :nr_predictions, type: Hash
-      field :warnings, type: Array
-      field :correlation_plot_id, type: BSON::ObjectId
-    end
-
-  end
-
-end