mlbench.peak             package:mlbench             R Documentation

_P_e_a_k _B_e_n_c_h_m_a_r_k _P_r_o_b_l_e_m

_D_e_s_c_r_i_p_t_i_o_n:

     Let r=3u where u is uniform on [0,1]. Take x to be uniformly
     distributed on the d-dimensional sphere of radius r. Let
     y=25exp(-.5r^2). This data set is not a classification problem but
     a regression problem where y is the dependent variable.

_U_s_a_g_e:

     mlbench.peak(n, d=20)

_A_r_g_u_m_e_n_t_s:

       n: number of patterns to create

       d: dimension of the problem

_V_a_l_u_e:

     Returns a list with components 

       x: input values (independent variables)

       y: output values (dependent variable)

