ENH: added de_normalize() method to DataSet class.

src/DataSet/DataSet.cpp

@@ -351,6 +351,25 @@ namespace lib4neuro {
         }
     }
 
+    void DataSet::de_normalize() {
+        std::vector<double> tmp_inp(this->data.at(0).first.size());
+        std::vector<double> tmp_out(this->data.at(0).second.size());
+
+        for(auto& pair: this->data) {
+            for(size_t i=0; i < pair.first.size(); i++) {
+                tmp_inp.at(i) = this->normalization_strategy->de_normalize(pair.first.at(i));
+            }
+            pair.first = tmp_inp;
+        }
+
+        for(auto& pair: this->data) {
+            for(size_t i=0; i < pair.second.size(); i++) {
+                tmp_out.at(i) = this->normalization_strategy->de_normalize(pair.second.at(i));
+            }
+            pair.second = tmp_out;
+        }
+    }
+
     void DataSet::de_normalize_single(std::vector<double> &d1, std::vector<double> &d2){
         assert(d1.size() == d2.size());
         for (size_t j = 0; j < d1.size(); ++j) {

src/DataSet/DataSet.h

@@ -233,6 +233,11 @@ namespace lib4neuro {
          */
         LIB4NEURO_API void normalize();
 
+        /**
+         * Denormalizes the data set
+         */
+        LIB4NEURO_API void de_normalize();
+
         /**
          * stores the de-normalized vector @d1 into @d2
          * @param d1