I\'m using the code from the MNIST tutorial:
feature_columns = [tf.contrib.layers.real_valued_column(\"\", dimension=4)] classifier = tf.contrib.learn.DNNCla
Solution:-
pred = classifier.fit(x=training_set.data, y=training_set.target, steps=2000).predict(test_set.data) print ("Predictions:") print(list(pred))
That's it...