def main(_):
print('tf version', tf.__version__)
topics, answers, num_topics = read_assistments_data(DATA_LOC)
full_data = load_data(topics, answers, num_topics)
model = DKTModel(num_topics, HIDDEN_SIZE, MAX_LENGTH)
with tf.Session() as session:
session.run(tf.global_variables_initializer())
#We need to explicitly initialize local variables to use
#TensorFlow's AUC function for some reason...
session.run(tf.local_variables_initializer())
train_model(model, session, full_data)
#model1, model2 = train_paired_models(session, full_data, num_topics)
#test_paired_models(session, full_data, model1, model2)
#embed()
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