def METHOD_NAME(parameters):
    """
    Creates a Stochastic Gradient Descent 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.SGD): A Stochastic Gradient Descent optimizer.
    """
    # Create the optimizer using the input parameters
    optimizer = SGD(
        parameters["model_parameters"],
        lr=parameters.get("learning_rate"),
        momentum=parameters["optimizer"].get("momentum", 0.99),
        weight_decay=parameters["optimizer"].get("weight_decay", 3e-05),
        dampening=parameters["optimizer"].get("dampening", 0),
        nesterov=parameters["optimizer"].get("nesterov", True),
    )
    return optimizer