Guilherme

Same in here. What I noticed is that the experiment on [arima_prophet_adapter](https://github.com/Nixtla/statsforecast/tree/main/experiments/arima_prophet_adapter) was not fair. The `Prophet` was run with grid of parameters. While `AutoARIMAProphet` was run with a single...

thank you for your reply. I tried: ```python fitted_model = model.fit(method="L-BFGS-B", minimize_kwargs={"iprint": -1}) ``` ```shell TypeError: minimize() got an unexpected keyword argument 'iprint' ``` I have `scipy 1.7.1` which also...

Hi @omriKramer , I just checked the code, with `Nixtla version 2.0.1` it does not happen. The forecast is 7 in this case.

I agree with that. From the code I understood that they use last `forecast_horizon` points as test. And this is the portion of data being used to calculate the metrics.