original_docstring: 
      Trains svm, classifies test data, computes test error on test set
  
      Returns:
          Test error for the binary svm
      
docstring: Trains svm, classifies test data, computes test error on test set
docstring_tokens: Trains svm classifies test data computes test error on test set
code: def run_multiclass_svm_on_MNIST():
      """
      Trains svm, classifies test data, computes test error on test set
  
      Returns:
          Test error for the binary svm
      """
      train_x, train_y, test_x, test_y = get_MNIST_data()
      pred_test_y = multi_class_svm(train_x, train_y, test_x)
      test_error = compute_test_error_svm(test_y, pred_test_y)
      return test_error
code_tokens: def run_multiclass_svm_on_MNIST ( ) : train_x , train_y , test_x , test_y = get_MNIST_data ( ) pred_test_y = multi_class_svm ( train_x , train_y , test_x ) test_error = compute_test_error_svm ( test_y , pred_test_y ) return test_error
short_docstring: Trains svm, classifies test data, computes test error on test set
short_docstring_tokens: Trains svm classifies test data computes test error on test set
comment: """
      Trains svm, classifies test data, computes test error on test set
  
      Returns:
          Test error for the binary svm
      """