Fix discrete feature discretizer once they are rediscretized in the algorithm

.sonarlint/connectedMode.json

@@ -1,4 +1,5 @@
 {
     "sonarCloudOrganization": "rmontanana",
-    "projectKey": "rmontanana_BayesNet"
+    "projectKey": "rmontanana_BayesNet",
+    "region": "EU"
 }

bayesnet/classifiers/Proposal.cc

@@ -101,6 +101,9 @@ namespace bayesnet {
             auto xvf_ptr = Xf.index({ index }).data_ptr<float>();
             auto xvf = std::vector<mdlp::precision_t>(xvf_ptr, xvf_ptr + Xf.size(1));
             discretizers[feature]->fit(xvf, yxv);
+            // Enables the discretizer in predict time, because now we have a discretizer fitted for this feature, 
+            // either it was a numeric feature in the beginning or not 
+            wasNumeric[index] = true;
         }
         if (upgrade) {
             // Discretize again X (only the affected indices) with the new fitted discretizers