pyspark/bigdl/models/local_lenet/local_lenet.py
def get_mnist(data_type="train", location="/tmp/mnist"):
    """
    Get mnist dataset with features and label as ndarray.
    Data would be downloaded automatically if it doesn't present at the specific location.

    :param data_type: "train" for training data and "test" for testing data.
    :param location: Location to store mnist dataset.
    :return: (features: ndarray, label: ndarray)
    """
    X, Y = mnist.read_data_sets(location, data_type)
    return X, Y + 1
def get_mnist(data_type="train", location="/tmp/mnist"):
    X, Y = mnist.read_data_sets(location, data_type)
    return X, Y + 1
def get_mnist ( data_type = "train" , location = "/tmp/mnist" ) : X , Y = mnist . read_data_sets ( location , data_type ) return X , Y + 1
Get mnist dataset with features and label as ndarray.
    Data would be downloaded automatically if it doesn't present at the specific location.

    :param data_type: "train" for training data and "test" for testing data.
    :param location: Location to store mnist dataset.
    :return: (features: ndarray, label: ndarray)
Get mnist dataset with features and label as ndarray . Data would be downloaded automatically if it doesn t present at the specific location .