Codefactor review

src/libs/som/include/som/DataNormalizer.hpp

@@ -30,7 +30,6 @@ namespace SOM
 class DataNormalizer
 {
 	public:
-
 		struct MinMax
 		{
 			InputVector::value_type min;

src/libs/som/include/som/InputVector.hpp

@@ -163,7 +163,6 @@ class InputVector
 		}
 
 	private:
-
 		friend class InputVector operator-(const InputVector& a, const InputVector& b)
 		{
 			if (!a.hasSameDimension(b.getNbDimensions()))

src/libs/som/include/som/Matrix.hpp

@@ -53,7 +53,6 @@ template <typename T>
 class Matrix
 {
 	public:
-
 		Matrix() = default;
 
 		Matrix(Coordinate width, Coordinate height)
@@ -109,7 +108,6 @@ class Matrix
 		}
 
 	private:
-
 		Coordinate		_width {};
 		Coordinate		_height {};
 		std::vector<T>	_values;

src/libs/som/include/som/Network.hpp

@@ -40,7 +40,6 @@ std::ostream& operator<<(std::ostream& os, const InputVector& a);
 class Network
 {
 	public:
-
 		// Init a network with random values
 		Network(Coordinate width, Coordinate height, std::size_t inputDimCount);