fsHistory            package:MLInterfaces            R Documentation

_e_x_t_r_a_c_t _h_i_s_t_o_r_y _o_f _f_e_a_t_u_r_e _s_e_l_e_c_t_i_o_n _f_o_r _a _c_r_o_s_s-_v_a_l_i_d_a_t_e_d
_m_a_c_h_i_n_e _l_e_a_r_n_e_r

_D_e_s_c_r_i_p_t_i_o_n:

     extract history of feature selection for a cross-validated machine
     learner

_U_s_a_g_e:

     fsHistory(x)

_A_r_g_u_m_e_n_t_s:

       x: instance of 'classifierOutput'

_D_e_t_a_i_l_s:

     returns a list of names of selected features

_V_a_l_u_e:

     a list; the names of variables are made 'syntactic'

_A_u_t_h_o_r(_s):

     Vince Carey <stvjc@channing.harvard.edu>

_E_x_a_m_p_l_e_s:

     data(iris)
     iris2 = iris[ iris$Species %in% levels(iris$Species)[1:2], ]
     iris2$Species = factor(iris2$Species) # drop unused levels
     x1 = MLearn(Species~., iris2, ldaI, xvalSpec("LOG", 3, 
        balKfold.xvspec(3), fs.absT(3)))
     fsHistory(x1)

