ef784a5b9046b1861de9d7ebba06e2d51a87c0cd,gluonbook/utils.py,,get_data_ch7,#,165

Before Change

    num_examples = 1000
    true_w = [2, -3.4]
    true_b = 4.2
    features = nd.random.normal(scale=1, shape=(num_examples, num_inputs))
    labels = true_w[0] * features[:, 0] + true_w[1] * features[:, 1] + true_b
    labels += nd.random.normal(scale=0.01, shape=labels.shape)
    return num_inputs, num_examples, true_w, true_b, features, labels

After Change

    Get the data set used in Chapter 7.
    data = np.genfromtxt("../data/airfoil_self_noise.dat", delimiter="\t")
    data = (data - data.mean(axis=0)) / data.std(axis=0)
    return nd.array(data[:, :-2]), nd.array(data[:,-1])


def get_fashion_mnist_labels(labels):

Instances