1 function sheet10
   2 
   3 X = textread('splice-train-data.txt', '%s');
   4 Y = load('splice-train-label.txt');
   5 XE = textread('splice-test-data.txt', '%s');
   6 YE = load('splice-test-label.txt');
   7 
   8 tic
   9 fprintf('Writing training features for k = 1\n');
  10 write_wdk_features('wdk1-train.txt', 1, X, Y);
  11 fprintf('Writing test features for k = 1\n');
  12 write_wdk_features('wdk1-test.txt', 1, XE, YE);
  13 toc
  14 
  15 tic
  16 fprintf('Writing training features for k = 2\n');
  17 write_wdk_features('wdk2-train.txt', 2, X, Y);
  18 fprintf('Writing test features for k = 2\n');
  19 write_wdk_features('wdk2-test.txt', 2, XE, YE);
  20 toc
  21 
  22 tic
  23 fprintf('Writing training features for k = 3\n');
  24 write_wdk_features('wdk3-train.txt', 3, X, Y);
  25 fprintf('Writing test features for k = 3\n');
  26 write_wdk_features('wdk3-test.txt', 3, XE, YE);
  27 toc
  28 
  29 function beta = beta(K, k)
  30 beta = 2 * (K - k + 1) / K / (K + 1);
  31 
  32 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  33 %
  34 % Your solution below
  35 %
  36 
  37 % 1. write out weighted degree kernel features
  38 % out into file FN up to degree K. (You should accept values of K = 1, 2,
  39 % 3
  40 function write_wdk_features(FN, K, X, Y)
  41 % ...