learnerSchema-class       package:MLInterfaces       R Documentation

_C_l_a_s_s "_l_e_a_r_n_e_r_S_c_h_e_m_a" - _c_o_n_v_e_y _i_n_f_o_r_m_a_t_i_o_n _o_n _a _m_a_c_h_i_n_e _l_e_a_r_n_i_n_g
_f_u_n_c_t_i_o_n _t_o _t_h_e _M_L_e_a_r_n _w_r_a_p_p_e_r

_D_e_s_c_r_i_p_t_i_o_n:

     conveys information about machine learning functions in CRAN
     packages, for example, to MLearn wrapper

_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("learnerSchema",
     ...)'.

_S_l_o_t_s:

     '_p_a_c_k_a_g_e_N_a_m_e': Object of class '"character"' string naming the
          package in which the function to be used is defined. 

     '_m_l_F_u_n_N_a_m_e': Object of class '"character"' string naming the
          function to be used 

     '_c_o_n_v_e_r_t_e_r': Object of class '"function"' function with parameters
          obj, data, trainInd, that will produce a classifierOutput
          instance 

_M_e_t_h_o_d_s:

     _M_L_e_a_r_n 'signature(formula = "formula", data = "ExpressionSet",
          method = "learnerSchema", trainInd = "numeric", mlSpecials =
          "missing")': execute desired learner passing a formula and
          ExpressionSet

     _M_L_e_a_r_n 'signature(formula = "formula", data = "data.frame", method
          = "learnerSchema", trainInd = "numeric", mlSpecials =
          "missing")': execute desired learner passing a formula 

     _s_h_o_w 'signature(object = "learnerSchema")': concise display 

_A_u_t_h_o_r(_s):

     Vince Carey <stvjc@channing.harvard.edu>

_E_x_a_m_p_l_e_s:

     showClass("learnerSchema")

