ee4b0bcc2cbac3c79c9b0b2c30036d189654bed4,keras/datasets/boston_housing.py,,load_data,#Any#Any#Any#,5

Before Change

    np.random.seed(seed)
    np.random.shuffle(x)
    np.random.seed(seed)
    np.random.shuffle(y)

    x_train = np.array(x[:int(len(x) * (1 - test_split))])
    y_train = np.array(y[:int(len(x) * (1 - test_split))])

After Change

    np.random.seed(seed)
    indices = np.arange(len(x))
    np.random.shuffle(indices)
    x = x[indices]
    y = y[indices]

    x_train = np.array(x[:int(len(x) * (1 - test_split))])
    y_train = np.array(y[:int(len(x) * (1 - test_split))])

Instances