I am having strange effects when I change my Prophet model from additive to multiplicative seasonality:
While my predictions get a lot better, my trend seems to be multiplied down to about 10% of the expected values.
I would expect the trend to stay in the same value range. Am I wrong?
Example with additive seasonality:
proph_model = Prophet()
proph_model.fit(df)
Example with multiplicative seasonality:
proph_model = Prophet( seasonality_mode="multiplicative" )
proph_model.fit(df)
Result with better prediction but strangely scaled down trend:

I am currently working with latest Prophet 1.1.1 on Python 3.10.6.
