WIP: Trying to fix core dumped error

src/DataSet/DataSet.cpp

@@ -69,7 +69,7 @@ namespace lib4neuro {
         this->output_dim = 1;
 
         if(ns) {
-            std::shared_ptr<NormalizationStrategy> ns_tmp = std::make_shared<NormalizationStrategy>(ns);
+            std::shared_ptr<NormalizationStrategy> ns_tmp(ns);
             this->normalization_strategy = ns_tmp;
 //            this->max_min_inp_val.emplace_back(this->normalization_strategy->get_max_value());
 //            this->max_min_inp_val.emplace_back(this->normalization_strategy->get_min_value());
@@ -400,6 +400,12 @@ namespace lib4neuro {
         return this->normalization_strategy.get();
     }
 
+    void DataSet::set_normalization_strategy(NormalizationStrategy* ns) {
+        if( ns ){
+            this->normalization_strategy.reset(ns);
+        }
+    }
+
     bool DataSet::is_normalized() {
         return !this->max_min_inp_val.empty();
     }

src/DataSet/DataSet.h

@@ -275,6 +275,8 @@ namespace lib4neuro {
          */
         LIB4NEURO_API NormalizationStrategy* get_normalization_strategy();
 
+        LIB4NEURO_API void set_normalization_strategy(NormalizationStrategy* ns);
+
         /**
          *
          * @return

src/ErrorFunction/ErrorFunctions.h

@@ -27,7 +27,7 @@ namespace lib4neuro {
          * @param weights
          * @return
          */
-        virtual double eval(std::shared_ptr<std::vector<double>> weights = nullptr, bool denormalize_data=false,
+        virtual double eval(std::vector<double>* weights = nullptr, bool denormalize_data=false,
                 bool verbose = false) = 0;
 
         /**

src/LearningMethods/LevenbergMarquardt.h

@@ -28,7 +28,7 @@ namespace lib4neuro {
 
     private:
         struct LevenbergMarquardtImpl;
-        std::unique_ptr<LevenbergMarquardtImpl> p_impl;
+        std::shared_ptr<LevenbergMarquardtImpl> p_impl;
 
     public:
         LevenbergMarquardt(int max_iters,