STYLE: code review

Modules/Applications/AppClassification/include/otbVectorPrediction.h

@@ -98,7 +98,7 @@ private:
   /** Method returning whether the confidence map should be computed, depending on the regression mode and input parameters */
   bool shouldComputeConfidenceMap() const;
 
-  /** Method returning the input list sample from the input layer */
+  /** Method returning the input list sample from the input DataSource */
   typename ListSampleType::Pointer ReadInputListSample(ogr::DataSource::Pointer source);
 
   /** Normalize a list sample using the statistic file given  */

Modules/Applications/AppClassification/include/otbVectorPrediction.hxx

@@ -78,7 +78,7 @@ typename VectorPrediction<RegressionMode>::ListSampleType::Pointer VectorPredict
   auto layer  = source->GetLayer(0);
   typename ListSampleType::Pointer input = ListSampleType::New();
 
-  const unsigned int nbFeatures = GetSelectedItems("feat").size();
+  const auto nbFeatures = GetSelectedItems("feat").size();
   input->SetMeasurementVectorSize(nbFeatures);
 
   ogr::Feature             feature = layer.ogr().GetNextFeature();