Adding return of lambda et eta un Results struct in Code-2S-SOM/learn_2s_som.m

Code-2S-SOM/learn_2s_som.m

@@ -422,14 +422,17 @@ function [StsMap sMap_denorm Resultout sMapPTout] = learn_2s_som(A,nb_neurone,va
           
           [Result(i,j).sMap Result(i,j).bmus Result(i,j).Alpha Result(i,j).Beta] = som_batchtrainRTOM( ...
               sMap, sD_norm, ...
-              'TypeAlgo','2SSOM', ...
-              'DimData',DimData, ...
-              'DimBloc',DimBloc, ...
-              'lambda', lambda(i), ...
-              'eta',eta(j), ...
-              'radius',rad_2s_som, ...
-              'trainlen',trlen_2s_som, ...
-              'tracking',tracking);
+              'TypeAlgo', '2SSOM', ...
+              'DimData',  DimData, ...
+              'DimBloc',  DimBloc, ...
+              'lambda',   lambda(i), ...
+              'eta',      eta(j), ...
+              'radius',   rad_2s_som, ...
+              'trainlen', trlen_2s_som, ...
+              'tracking', tracking);
+          
+          Result(i,j).lambda = lambda(i);
+          Result(i,j).eta    = eta(j);
           
           current_perf = som_distortion(Result(i,j).sMap,sD_norm);
           fprintf(1,'   --> som_distortion=%s\n', num2str(current_perf));
@@ -488,6 +491,8 @@ function [StsMap sMap_denorm Resultout sMapPTout] = learn_2s_som(A,nb_neurone,va
     end
     
     if (bool_2ssom)
+      St.lambda = Result(iBest).lambda;
+      St.eta    = Result(iBest).eta;
       St.bmus   = Result(iBest).bmus;
       St.Alpha  = Result(iBest).Alpha;
       St.Beta   = Result(iBest).Beta;