Fix to reflect latest changes to the code. Examples compile and produce expected results.

examples/ex_1/ex1.cpp

-#include <tadah/cutoffs/cut_all.h>
-#include <tadah/descriptors/d_all.h>
-#include <tadah/models/m_all.h>
-#include <tadah/basis_functions/bf_all.h>
-#include <tadah/kernels/kern_all.h>
-#include <tadah/config.h>
-#include <tadah/structure.h>
-#include <tadah/descriptors_calc.h>
-#include <tadah/nn_finder.h>
-#include <tadah/output/output.h>
+#include <tadah/MODELS/cutoffs/cut_all.h>
+#include <tadah/MODELS/descriptors/d_all.h>
+#include <tadah/MLIP/models/m_all.h>
+#include <tadah/MLIP/design_matrix/functions/basis_functions/dm_bf_all.h>
+#include <tadah/MODELS/functions/kernels/kern_all.h>
+#include <tadah/CORE/config/config.h>
+#include <tadah/MLIP/structure.h>
+#include <tadah/MLIP/descriptors_calc.h>
+#include <tadah/MLIP/nn_finder.h>
+#include <tadah/MLIP/output/output.h>
 #include <fstream>
 
 /**  @file ex1.cpp
@@ -17,7 +17,7 @@
  * To compile with `g++` and run:
  *
  * \code{.sh}
- *  $ g++ -std=c++17 -O3 ex1.cpp -o ex1.out -ltadah -fopenmp
+ *  $ g++ -std=c++17 -O3 ex1.cpp -o ex1.out -ltadah -llapack -fopenmp
  *  $ ./ex1.out
  * \endcode
  *
@@ -98,7 +98,7 @@ int main() {
     // BF is used for M_BLR - Bayesian Linear Regression
     // K is used with M_KRR - Kernel Ridge Regression
     // See documentation for more BF and K
-    using BF=BF_Linear;
+    using BF=DM_BF_Linear;
     //using BF=BF_Polynomial2;
     //using K=Kern_Linear;
     //using K=Kern_Quadratic;
@@ -107,10 +107,10 @@ int main() {
     using M=M_BLR<BF>;
     //using M=M_KRR<K>;
 
-    // STEP 2c: Instantiate a model
+    //// STEP 2c: Instantiate a model
     M model(config);
 
-    std::cout << "TRAINING STAGE..." << std::flush;
+    //std::cout << "TRAINING STAGE..." << std::flush;
 
     // STEP 3: Training - Option 1.
     // Train with StructureDB only. We have to provide calculators here.

examples/ex_2/ex2.cpp

-#include <tadah/cutoffs/cut_all.h>
-#include <tadah/descriptors/d_all.h>
-#include <tadah/models/m_all.h>
-#include <tadah/descriptors_calc.h>
-#include <tadah/config.h>
-#include <tadah/structure.h>
-#include <tadah/nn_finder.h>
-#include <tadah/output/output.h>
+#include <tadah/MODELS/cutoffs/cut_all.h>
+#include <tadah/MODELS/descriptors/d_all.h>
+#include <tadah/MLIP/models/m_all.h>
+#include <tadah/MLIP/descriptors_calc.h>
+#include <tadah/CORE/config/config.h>
+#include <tadah/MLIP/structure.h>
+#include <tadah/MLIP/nn_finder.h>
+#include <tadah/MLIP/output/output.h>
+#include <tadah/MLIP/design_matrix/functions/dm_f_all.h>
 #include <fstream>
 
 /**  @file ex2.cpp
@@ -15,7 +16,7 @@
  * To compile with `g++` and run:
  *
  * \code{.sh}
- *  $ g++ -std=c++17 -O3 ex2.cpp -o ex2.out -ltadah -fopenmp
+ *  $ g++ -std=c++17 -O3 ex2.cpp -o ex2.out -ltadah -llapack -fopenmp
  *  $ ./ex2.out
  * \endcode
  *
@@ -64,7 +65,7 @@ int main() {
     // If keyword is not listed use `Cut_Dummy`.
     // `pot.tadah`: RCTYPE2B      Cut_Cos
     using C2=Cut_Cos;
-    // `pot.tadah` no keywords ofr three-body and many-body
+    // `pot.tadah` no keywords for three-body and many-body
     using C3=Cut_Dummy;
     using CM=Cut_Dummy;
 
@@ -73,7 +74,7 @@ int main() {
     // K is used with M_KRR - Kernel Ridge Regression
     // KEYWORD `MODEL`: first argument is model, second BF/Kernel
     // `pot.tadah`: MODEL     M_KRR     Kern_Linear
-    using K=Kern_Linear;
+    using K=DM_Kern_Linear;
 
     // STEP 2b: Select Model and instantiate object.
     // `pot.tadah`: MODEL     M_KRR     Kern_Linear

examples/ex_2/pot.tadah

-ALPHA      1.0
-BETA      1.0
-BIAS      true
+ALPHA      1
+BETA      1
+BIAS      false
 CGRID2B     -1     4     1.0     5.3
-CHECKPRESS      false
-DIMER     false     0     false
+DIMER     false
 EWEIGHT      1.0
-FWEIGHT      1.0
+FWEIGHT      1
 INIT2B      true
 INIT3B      false
 INITMB      false
 LAMBDA      0
 MODEL     M_BLR     BF_Linear
-NMEAN     1     194.0239012     198.413198     167.8651188     8.242704556
-NORM      true
-NSTDEV     0     2.79425471     2.914508228     1.43784523     0.3225202259
+NORM      false
 OUTPREC      10
 RCTYPE2B      Cut_Cos
 RCUT2B      5.3
 SGRID2B     -2     4     0.1     1.0
-SWEIGHT      1.0
+SWEIGHT      1
 TYPE2B      D2_Blip
-WEIGHTS     -4.415741551     0.4218953511     -0.3750771288     -0.06328812171     -0.05230011264
+WEIGHTS     0.3501814918     -0.2916197278     -0.08735823387     -0.04659144812