496e3d795c1f33010899f34c2e171a76a3d8e75c,codes/2-basics_in_machine_learning/linear_svm/code/linear_SVM.py,,,#,70

Before Change

    // Displaying the desired values.
    if (step_idx+1) % FLAGS.log_step == 0:
        print("Step //%d, Loss= %f, training accuracy= %f, testing accuracy= %f " % (step_idx+1, loss_step, train_acc_step, test_acc_step))

if FLAGS.is_evaluation:
    [[w1], [w2]] = sess.run(W)
    [[b]] = sess.run(b)

After Change

    // Displaying the desired values.
    if step_idx % 100 ==0:
        print("Step //%d, training accuracy= %% %.2f, testing accuracy= %% %.2f " % (step_idx, float(100 * train_acc_step), float(100 * test_acc_step)))

if FLAGS.is_evaluation:
    [[w1], [w2]] = sess.run(W)
    [[b]] = sess.run(b)

Instances