vm-class               package:kernlab               R Documentation

_C_l_a_s_s "_v_m"

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

     An S4 VIRTUAL class used as a base for the various vector machine
     classes in 'kernlab'

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

     Objects from the class cannot be created directly but only
     contained in other classes.

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


     '_a_l_p_h_a': Object of class '"listI"' containing the resulting alpha
          vector (list in case of multiclass classification) (support
          vectors)

     '_t_y_p_e': Object of class '"character"'  containing the vector
          machine type e.g. ("C-svc", "nu-svc", "C-bsvc", "spoc-svc",
          "one-svc", "eps-svr", "nu-svr", "eps-bsvr")

     '_k_e_r_n_e_l_f': Object of class '"function"' containing the kernel
          function

     '_k_p_a_r': Object of class '"list"' containing the kernel function
          parameters (hyperparameters)

     '_k_c_a_l_l': Object of class '"call"' containing the function call

     '_t_e_r_m_s': Object of class '"ANY"' containing the terms
          representation of the symbolic model used (when using a
          formula)

     '_x_m_a_t_r_i_x': Object of class '"input"' the data matrix used during
          computations (support vectors) (possibly scaled and whithout
          NA)

     '_y_m_a_t_r_i_x': Object of class '"output"' the response matrix/vector 

     '_f_i_t_t_e_d': Object of class '"output"' with the fitted values,
          predictions using the training set.

     '_l_e_v': Object of class '"vector"' with the levels of the response
          (in the case of classifiaction)

     '_n_c_l_a_s_s': Object of class '"numeric"'  containing the number of
          classes (in the case of classification)

     '_e_r_r_o_r': Object of class '"numeric"' containing the training error

     '_c_r_o_s_s': Object of class '"numeric"' containing the
          cross-validation error 

     '_n._a_c_t_i_o_n': Object of class '"ANY"' containing the action
          performed for NA 

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


     _a_l_p_h_a 'signature(object = "vm")': returns the complete alpha
          vector (wit zero values)

     _c_r_o_s_s 'signature(object = "vm")': returns the cross-validation
          error 

     _e_r_r_o_r 'signature(object = "vm")': returns the training error 

     _f_i_t_t_e_d 'signature(object = "vm")': returns the fitted values
          (predict on training set) 

     _k_e_r_n_e_l_f 'signature(object = "vm")': returns the kernel function

     _k_p_a_r 'signature(object = "vm")': returns the kernel parameters
          (hyperparameters)

     _l_e_v 'signature(object = "vm")': returns the levels in case of
          classification  

     _k_c_a_l_l 'signature(object="vm")': returns the function call

     _t_y_p_e 'signature(object = "vm")': returns the problem type

     _x_m_a_t_r_i_x 'signature(object = "vm")': returns the data matrix
          used(support vectors)

     _y_m_a_t_r_i_x 'signature(object = "vm")': returns the response vector

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

     Alexandros Karatzoglou 
      alexandros.karatzolgou@ci.tuwien.ac.at

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

     'ksvm-class',  'rvm-class', 'gausspr-class'

