classifOutput-class       package:MLInterfaces       R Documentation

_C_l_a_s_s "_c_l_a_s_s_i_f_O_u_t_p_u_t": _c_o_n_t_a_i_n_e_r _f_o_r _o_u_t_p_u_t _o_f
_c_l_a_s_s_i_f_i_c_a_t_i_o_n _p_r_o_c_e_d_u_r_e_s _i_n _R

_D_e_s_c_r_i_p_t_i_o_n:

     container with uniform contents for classifier outputs

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     Objects can be created by calls of the form 'new("classifOutput",
     ...)'. These objects include label vectors for test set elements,
     scores on labeling events, call history information, native
     classifier object access, and a distance matrix for test set
     feature vectors.

_S_l_o_t_s:

     '_m_e_t_h_o_d': Object of class '"character"' tag identifying
          classification method in use 

     '_p_r_e_d_L_a_b_e_l_s': Object of class '"MLLabel"' vector of labels
          predicted for test cases 

     '_p_r_e_d_S_c_o_r_e_s': Object of class '"MLScore"' structure of scores on
          classification events (for example, vote proportions or
          fitted probabilities of class membership

     '_c_a_l_l': Object of class '"call"' call engendering the
          classifOutput object 

     '_c_l_a_s_s_i_f_R_o_b_j_e_c_t': Object of class '"ANY"' fitted model object 

     '_d_i_s_t_M_a_t': Object of class '"dist"' distance matrix  of test set
          feature vectors 

_M_e_t_h_o_d_s:

     _s_h_o_w 'signature(object = "classifOutput")': ... 

     _s_i_l_h_o_u_e_t_t_e_B 'signature(out = "classifOutput")': ... 

_A_u_t_h_o_r(_s):

     VJ Carey <stvjc@channing.harvard.edu>

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

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

