kats/models/ensemble/kats_ensemble.py [756:788]:
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    def _backtester_single(
        self,
        params: Params,
        # pyre-fixme[24]: Generic type `Model` expects 1 type parameter.
        model_class: Type[Model],
        train_percentage: int = 80,
        test_percentage: int = 20,
        err_method: str = "mape",
    ) -> float:
        """Private method to run single back testing process

        Args:
            params: Kats model parameters
            model_class: Untyped. Defines type of model
            train_percentage: float. Percentage of data used for training
            test_percentage: float. Percentage of data used for testing
            error_method: list of strings indicating which errors to calculate
                we currently support "mape", "smape", "mae", "mase", "mse", "rmse"

        Returns:
            float, the backtesting error
        """

        bt = BackTesterSimple(
            [err_method],
            self.data,
            params,
            train_percentage,
            test_percentage,
            model_class,
        )
        bt.run_backtest()
        return bt.get_error_value(err_method)
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kats/models/ensemble/weighted_avg_ensemble.py [52:84]:
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    def _backtester_single(
        self,
        params: Params,
        # pyre-fixme[24]: Generic type `Model` expects 1 type parameter.
        model_class: Type[Model],
        train_percentage: int = 80,
        test_percentage: int = 20,
        err_method: str = "mape",
    ) -> float:
        """Private method to run all backtesting process

        Args:
            params: Kats model parameters
            model_class: Untyped. Defines type of model
            train_percentage: float. Percentage of data used for training
            test_percentage: float. Percentage of data used for testing
            error_method: list of strings indicating which errors to calculate
                we currently support "mape", "smape", "mae", "mase", "mse", "rmse"

        Returns:
            float, the backtesting error
        """

        bt = BackTesterSimple(
            [err_method],
            self.data,
            params,
            train_percentage,
            test_percentage,
            model_class,
        )
        bt.run_backtest()
        return bt.get_error_value(err_method)
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