The program ’bound’ has been instrumented to use technique (3) from above. In order to apply the combined training and test error bound, you must simply supply the necessary information for both the training and test sets.
12:25AM z-42: cat train_n_test_error
test_examples 10 test_errors 5 delta 0.3 train_examples 20 train_errors 0 log_prior -1 1:16AM z-43: bound train_n_test_error Applying varying approximation tail bound delta 0.3 lower_delta 0.5 test_examples 10 test_errors 5 train_examples 20 train_errors 0 log_hypothesis_size 0 log_prior -1 approximation automatic true_error = 0.5 0.104335444048 0.369755505584 |