question: public static double L_LogLossD ( int Y [ ] [ ] , double Rpred [ ] [ ] ) { int N = Y . length ; int L = Y [ 0 ] . length ; return L_LogLoss ( Y , Rpred , Math . log ( ( double ) N ) ) / ( ( double ) N * ( double ) L ) ; }
target:  L_LogLoss - the log loss between real-valued confidences Rpred and true predictions Y with a maximum penalty based on the number of examples D [Important Note: Earlier versions of Meka only normalised by N, and not N*L as here].