9.1 labelpropogation.py 文件源码

def load_data():
    '''
    load digit data set
    :return: data( have target), data_target, data( not have target)
    '''
    digits = datasets.load_digits()
    ######   shuffle?########
    rng = np.random.RandomState(0)
    indices = np.arange(len(digits.data))
    rng.shuffle(indices)
    X = digits.data[indices]
    y = digits.target[indices]

    n_labeled_points = int(len(y)/10)
    unlabeled_indices = np.arange(len(y))[n_labeled_points:]

    return X,y,unlabeled_indices