def METHOD_NAME():
    feature_placeholders = {
        'is_male': tf.placeholder(tf.string, [None]),
        'mother_age': tf.placeholder(tf.float32, [None]),
        'plurality': tf.placeholder(tf.string, [None]),
        'gestation_weeks': tf.placeholder(tf.float32, [None]),
        KEY_COLUMN: tf.placeholder_with_default(tf.constant(['nokey']), [None])
    }
    features = {key: tf.expand_dims(tensor, -1)
                for key, tensor in feature_placeholders.items()}
    return tf.estimator.export.ServingInputReceiver(features,
                                                    feature_placeholders)