question: private double [ ] evaluateProbability ( double [ ] data ) { double [ ] prob = new double [ m_NumClasses ] , v = new double [ m_NumClasses ] ; for ( int j = 0 ; j < m_NumClasses - 1 ; j ++ ) { for ( int k = 0 ; k <= m_NumPredictors ; k ++ ) { v [ j ] += m_Par [ k ] [ j ] * data [ k ] ; } } v [ m_NumClasses - 1 ] = 0 ; for ( int m = 0 ; m < m_NumClasses ; m ++ ) { double sum = 0 ; for ( int n = 0 ; n < m_NumClasses - 1 ; n ++ ) { sum += Math . exp ( v [ n ] - v [ m ] ) ; } prob [ m ] = 1 / ( sum + Math . exp ( - v [ m ] ) ) ; } return prob ; }
target:  Compute the posterior distribution using optimized parameter values and the testing instance.