def METHOD_NAME(parameters):
    """
    Creates a Resilient Backpropagation optimizer from the PyTorch `torch.optim` module using the input parameters.
    Args:
        parameters (dict): A dictionary containing the input parameters for the optimizer.
    Returns:
        optimizer (torch.optim.Rprop): A Resilient Backpropagation optimizer.
    """
    # Create the optimizer using the input parameters
    return Rprop(
        parameters["model_parameters"],
        lr=parameters.get("learning_rate"),
        etas=parameters["optimizer"].get("etas", (0.5, 1.2)),
        step_sizes=parameters["optimizer"].get("step_sizes", (1e-7, 50)),
    )