This is an agent which chooses a random label candidate, to be used for debugging or as an extremely simple baseline.
If label candidates are available for the task, it chooses one randomly as a response. It randomly sorts the candidates to return in the
text_candidates field, used for calculating hits@k metrics. If label candidates are not available, it just repeats the label.
Evaluate on bAbi by choosing a random candidate.
python examples/eval_model.py -m random_candidate -t babi