def create_split()

in ttw/train/classify_landmarks.py [0:0]

• 12 lines of code
• 7 McCabe index (conditional complexity)

def create_split(dataset):
    keys = dataset[0].keys()
    train_data = {k: list() for k in keys}
    valid_data = {k: list() for k in keys}

    for i in range(len(dataset)):
        if random.random() > 0.7:
            for k in dataset[i].keys():
                valid_data[k].append(dataset[i][k])
        else:
            for k in dataset[i].keys():
                train_data[k].append(dataset[i][k])
    return train_data, valid_data