I\'m using the code from the MNIST tutorial:
feature_columns = [tf.contrib.layers.real_valued_column(\"\", dimension=4)] classifier = tf.contrib.learn.DNNCla
To be as close as possible to the tutorial use:
print('Predictions: {}' .format(list(ds_predict_tf)))