def METHOD_NAME(train_unfrozen=False, v2=False, prediction_type="epsilon"):
    config_base_name = "training"
    model_versions = {
        "v1": "v1",
        "v2": "v2"
    }
    train_types = {
        "default": "default",
        "unfrozen": "unfrozen",
    }
    model_train_type = train_types["default"]
    model_version_name = f"{model_versions['v1'] if not v2 else model_versions['v2']}"
    if train_unfrozen:
        model_train_type = train_types["unfrozen"]
    return get_config_path(model_version_name, model_train_type, config_base_name, prediction_type)