def download_training_and_eval_data()

in scikit_learn_script_mode_local_training_and_serving/scikit_learn_script_mode_local_training_and_serving.py [0:0]

• 10 lines of code
• 4 McCabe index (conditional complexity)

def download_training_and_eval_data():
    if os.path.isfile('./data/iris.csv'):
        print('Training and dataset exist. Skipping Download')
    else:
        print('Downloading training dataset')

        # Load Iris dataset, then join labels and features
        iris = datasets.load_iris()
        joined_iris = np.insert(iris.data, 0, iris.target, axis=1)

        # Create directory and write csv
        os.makedirs("./data", exist_ok=True)
        np.savetxt("./data/iris.csv", joined_iris, delimiter=",", fmt="%1.1f, %1.3f, %1.3f, %1.3f, %1.3f")

        print('Downloading completed')