Open lizre opened 1 year ago
The model is a good fit for Probabilities.
with the right parameters it can be very good in it, try adjusting
seasonality_prior_scale=0.7, # Adjusted value
changepoint_prior_scale=8, # Adjusted value
These two are used to control the flexibility of the model and how much it emphasizes capturing seasonality and changepoints in the data.
And the seasonality to make the series detect patterns of seasonality
model.add_seasonality(name='monthly', period=30.5, fourier_order=6) # Adjusted Fourier order
Hi! Is FBProphet appropriate for modeling percentages or probabilities? What about skewed data, like counts? ❤️