def METHOD_NAME(dai_experiment_key, dai_dataset_key, delete_downloads=True):
    # We train and validate on the same data to get back all of th rows in the right order in transform_train
    transform = h2oai.fit_transform_batch_sync(model_key=dai_experiment_key
                                               , training_dataset_key=dai_dataset_key
                                               , validation_dataset_key=dai_dataset_key
                                               , test_dataset_key=None
                                               , validation_split_fraction=0
                                               , seed=1234
                                               , fold_column=None)
    transform_train_path = h2oai.download(src_path=transform.training_output_csv_path, dest_dir=download_file_location)
    transform_train = pd.read_csv(transform_train_path, sep=',', skipinitialspace=True)
    print("PRINT TRANSFORMED DATA:")
    print(transform_train.head(10))
    print()
    # Delete downloaded files
    if delete_downloads:
        os.remove(transform_train_path)