From b515a0cfedb887a2af753db6e4a08ae1af430cad Mon Sep 17 00:00:00 2001
From: Christoph Helma <helma@in-silico.ch>
Date: Tue, 31 May 2016 18:08:08 +0200
Subject: cleanup of validation modules/classes

---
 lib/validation.rb | 72 +++++++++++++------------------------------------------
 1 file changed, 17 insertions(+), 55 deletions(-)

(limited to 'lib/validation.rb')

diff --git a/lib/validation.rb b/lib/validation.rb
index 9122df1..ff9a971 100644
--- a/lib/validation.rb
+++ b/lib/validation.rb
@@ -1,63 +1,25 @@
 module OpenTox
 
-  class Validation
-
-    field :model_id, type: BSON::ObjectId
-    field :prediction_dataset_id, type: BSON::ObjectId
-    field :crossvalidation_id, type: BSON::ObjectId
-    field :test_dataset_id, type: BSON::ObjectId
-    field :nr_instances, type: Integer
-    field :nr_unpredicted, type: Integer
-    field :predictions, type: Hash
-
-    def prediction_dataset
-      Dataset.find prediction_dataset_id
-    end
-
-    def test_dataset
-      Dataset.find test_dataset_id
-    end
-
-    def model
-      Model::Lazar.find model_id
-    end
-
-    def self.create model, training_set, test_set, crossvalidation=nil
-      
-      atts = model.attributes.dup # do not modify attributes of the original model
-      atts["_id"] = BSON::ObjectId.new
-      atts[:training_dataset_id] = training_set.id
-      validation_model = model.class.create model.prediction_feature, training_set, atts
-      validation_model.save
-      predictions = validation_model.predict test_set.substances
-      predictions.each{|cid,p| p.delete(:neighbors)}
-      nr_unpredicted = 0
-      predictions.each do |cid,prediction|
-        if prediction[:value]
-          prediction[:measured] = test_set.values(cid, prediction[:prediction_feature_id])
-        else
-          nr_unpredicted += 1
-        end
+  module Validation
+
+    class Validation
+      include OpenTox
+      include Mongoid::Document
+      include Mongoid::Timestamps
+      store_in collection: "validations"
+      field :name, type: String
+      field :model_id, type: BSON::ObjectId
+      field :nr_instances, type: Integer
+      field :nr_unpredicted, type: Integer
+      field :predictions, type: Hash
+      field :finished_at, type: Time 
+
+      def model
+        Model::Lazar.find model_id
       end
-      predictions.select!{|cid,p| p[:value] and p[:measured]}
-      validation = self.new(
-        :model_id => validation_model.id,
-        :test_dataset_id => test_set.id,
-        :nr_instances => test_set.substances.size,
-        :nr_unpredicted => nr_unpredicted,
-        :predictions => predictions#.sort{|a,b| p a; b[3] <=> a[3]} # sort according to confidence
-      )
-      validation.crossvalidation_id = crossvalidation.id if crossvalidation
-      validation.save
-      validation
-    end
-
-  end
 
-  class ClassificationValidation < Validation
-  end
+    end
 
-  class RegressionValidation < Validation
   end
 
 end
-- 
cgit v1.2.3