orbit/template/ets.py [170:185]:
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    def predict(
        self,
        posterior_estimates,
        df,
        training_meta,
        prediction_meta,
        include_error=False,
        **kwargs,
    ):
        """Vectorized version of prediction math"""
        ################################################################
        # Prediction Attributes
        ################################################################
        # n_forecast_steps = prediction_meta[PredictionMetaKeys.FUTURE_STEPS.value]
        start = prediction_meta[PredictionMetaKeys.START_INDEX.value]
        trained_len = training_meta[TrainingMetaKeys.NUM_OF_OBS.value]
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orbit/template/lgt.py [465:480]:
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    def predict(
        self,
        posterior_estimates,
        df,
        training_meta,
        prediction_meta,
        include_error=False,
        **kwargs,
    ):
        """Vectorized version of prediction math"""
        ################################################################
        # Prediction Attributes
        ################################################################
        # n_forecast_steps = prediction_meta[PredictionMetaKeys.FUTURE_STEPS.value]
        start = prediction_meta[PredictionMetaKeys.START_INDEX.value]
        trained_len = training_meta[TrainingMetaKeys.NUM_OF_OBS.value]
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