Apply a prophet model to new data without re-training the model

Hi there,

I was wondering if there is a way to apply a prophet model (already learned) to a new data. Let say, I learned a model M from a time series ($y_1$, ..., $y_T$) and used it to predict the next value $y_{T+1}$. What if I want to predict $y_{T+2}$ based on ($y_1$, ..., $y_T$, $y_{T+1}$) without relearning the model? is it possible with Prophet ?

With ARIMA, this is possible using the function [`apply`][1]

Thank you!

[1]: https://www.statsmodels.org/dev/generated/statsmodels.tsa.arima.model.ARIMAResults.apply.html