I am using fbprophet version 0.7.1 with pystan 2.19.1.1 on a quarterly time-series data, working on Jupyter Notebook.
Using extra regressors, here's my code.
model = Prophet(daily_seasonality = False, weekly_seasonality = False)
for regressor in extra_regressors:
model.add_regressor(regressor)
model.fit(df_train)
This results in very long logs/outputs such as:
Initial log joint probability = -50.7823
Iteration 1. Log joint probability = 36.5594. Improved by 87.3417.
Iteration 2. Log joint probability = 47.9345. Improved by 11.3751.
Iteration 3. Log joint probability = 61.4267. Improved by 13.4922.
Iteration 4. Log joint probability = 70.6681. Improved by 9.24134.
Iteration 5. Log joint probability = 73.2246. Improved by 2.55655.
Iteration 6. Log joint probability = 73.247. Improved by 0.0223382.
Iteration 7. Log joint probability = 73.2556. Improved by 0.00860014.
Iteration 8. Log joint probability = 73.2729. Improved by 0.0173013.
Iteration 9. Log joint probability = 73.3195. Improved by 0.0466379.
Iteration 10. Log joint probability = 73.506. Improved by 0.186518.
Iteration 11. Log joint probability = 73.5193. Improved by 0.0132468.
Iteration 12. Log joint probability = 73.7225. Improved by 0.203195.
Iteration 13. Log joint probability = 73.7487. Improved by 0.0262419.
Iteration 14. Log joint probability = 73.7833. Improved by 0.0345711.
Iteration 15. Log joint probability = 73.7998. Improved by 0.0165609.
Iteration 16. Log joint probability = 73.8655. Improved by 0.0656696.
Iteration 17. Log joint probability = 73.9223. Improved by 0.0567906.
Iteration 18. Log joint probability = 74.0284. Improved by 0.10612.
Iteration 19. Log joint probability = 74.0554. Improved by 0.0269437.
Iteration 20. Log joint probability = 74.0728. Improved by 0.0174187.
How do I disable these logs?