eef158f03c4ec9bf872a3e358d62a1fd21a73c35,examples/movielens_cnn.py,,,#,91

Before Change

                print("Already computed")
                continue

            result = evaluate_model(hyperparams,
                                    train,
                                    test,
                                    random_state)
            output.write(json.dumps(result) + "\n")
            output.flush()

After Change

                                                   random_state=random_state)
    train = train.to_sequence(max_sequence_length=max_sequence_length,
                              min_sequence_length=min_sequence_length)
    train.sequences = train.sequences[:100]
    test = test.to_sequence(max_sequence_length=max_sequence_length,
                            min_sequence_length=min_sequence_length)
    test.sequences = test.sequences[:100]
    validation = validation.to_sequence(max_sequence_length=max_sequence_length,

Instances