best                   package:CMA                   R Documentation

_S_h_o_w _b_e_s_t _h_y_p_e_r_p_a_r_a_m_e_t_e_r _s_e_t_t_i_n_g_s

_D_e_s_c_r_i_p_t_i_o_n:

     In this package hyperparameter tuning is performed by an inner
     cross-validation step for each 'learningset'. A grid of values is
     tried and evaluated in terms of the misclassification rate, the
     results are saved in an object of class 'tuningresult'. This
     method displays (separately for each 'learningset') the
     hyperparameter/ hyperparameter combination that showed the best
     results. Note that this must not be unique; in this case, only one
     combination is displayed.

_U_s_a_g_e:

     best(object, ...)

_A_r_g_u_m_e_n_t_s:

  object: An object of class 'tuningresult'.

     ...: Currently unused argument.

_V_a_l_u_e:

     A list with elements equal to the number of different
     learningsets. Each element contains the best hyperparameter
     combination and the corresponding misclassification rate.

_A_u_t_h_o_r(_s):

     Martin Slawski martin.slawski@campus.lmu.de

     Anne-Laure Boulesteix <URL: http://www.slcmsr.net/boulesteix>

_S_e_e _A_l_s_o:

     'tune'

