iMad

`holidays_prior_scale` is a hyperparameter of the model that you set when you instantiate the Prophet model: ```python m = Prophet(holidays=holidays, holidays_prior_scale=0.05).fit(df) ``` More info [here in the docs](https://facebook.github.io/prophet/docs/seasonality,_holiday_effects,_and_regressors.html#prior-scale-for-holidays-and-seasonality). You don't...

Looks like the same issue as #2354 and #2456 However it's been around since version 1.1.2/1.1.3/1.1.4 and still not fixed in 1.1.5 It is still not clear in what conditions...

> Did you install `prophet` via `pip` or `conda`? > > Can you run (from a terminal with the conda environment active) `/opt/conda/lib/python3.11/site-packages/prophet/stan_model/prophet_model.bin info`? I was having the same problem...

Hey @tcuongd, I've created the [PR to fix the bug](https://github.com/facebook/prophet/pull/2530) and added a test for `make_future_dataset(,,include_history=True)`

> has anyone got any solution for this? when will this be fixed? I was really looking forward to a fix for the 1.1.5 version (released yesterday 10/10/23), but it...

> > has anyone got any solution for this? when will this be fixed? > > I was really looking forward to a fix for the 1.1.5 version (released yesterday...

I even tested with the same Docker Image (i.e same files, packages versions, C compilator...) on the same OS (Debian for instance) and it turns out Prophet works on one...

You should use the `Prophet` package instead of `fbprophet`, which has been deprecated for a while now. It's nearly a drop-in replacement for the "old" version. Prophet is on PyPI,...

Are you sure it is worth it to log the Prophet model in the first place ? "Training" the Prophet model actually takes less

> @imad24 Thanks for replying. over here why i want to re-train new model based on previous trained model because the dataset will over a million for the first time...