

softmax(mda)                                 R Documentation

_i_d_e_n_t_i_f_y _t_h_e _m_a_x_i_m_u_m _i_n _e_a_c_h _r_o_w _o_f _a _m_a_t_r_i_x

_U_s_a_g_e_:

     softmax(x, gap = F)

_A_r_g_u_m_e_n_t_s_:

       x: a matrix of mode numeric

     gap: if `TRUE', the difference between the largest and
          next largest column is returned.

_V_a_l_u_e_:

     A factor with levels the column labels of `x' and val-
     ues the columns corresponding to the maximum column. If
     `gap = TRUE' a list is returned, the second component
     of which is the difference between the largest and next
     largest column of `x'.

_S_e_e _A_l_s_o_:

     `predict.fda', `confusion', `fda'

_E_x_a_m_p_l_e_s_:

     data(iris)
     irisfit <- fda(Species ~ ., data = iris)
     posteriors <- predict(irisfit, type = "post")
     confusion(softmax(posteriors), iris[, "Species"])

