Removed unnecessary if statement in predict_season_from_dates

[judussoari]

🔬 Background

If statement is never called, because predict_season_from_dates will never be called when df_name is a list
If this is the case, m.predict_seasonal_components() will be called (quick=False in plot_model_parameters_x.py)

🔮 Key changes

Deleted unnecessary code

[github-actions]

9ead864

Model Benchmark

Benchmark	Metric	main	current	diff
AirPassengers	MAE_val	15.2698	15.2698	0.0%	✅
AirPassengers	RMSE_val	19.4209	19.4209	0.0%	✅
AirPassengers	Loss_val	0.00195	0.00195	0.0%	✅
AirPassengers	MAE	9.82902	9.82902	0.0%	✅
AirPassengers	RMSE	11.7005	11.7005	0.0%	✅
AirPassengers	Loss	0.00056	0.00056	0.0%	✅
AirPassengers	time	6.86499	7.04	2.55%	✅
PeytonManning	MAE_val	0.64636	0.64636	0.0%	✅
PeytonManning	RMSE_val	0.79276	0.79276	0.0%	✅
PeytonManning	Loss_val	0.01494	0.01494	0.0%	✅
PeytonManning	MAE	0.42701	0.42701	0.0%	✅
PeytonManning	RMSE	0.57032	0.57032	0.0%	✅
PeytonManning	Loss	0.00635	0.00635	0.0%	✅
PeytonManning	time	18.5446	19.01	2.51%	✅
YosemiteTemps	MAE_val	1.72948	1.72948	0.0%	✅
YosemiteTemps	RMSE_val	2.27386	2.27386	0.0%	✅
YosemiteTemps	Loss_val	0.00096	0.00096	0.0%	✅
YosemiteTemps	MAE	1.45189	1.45189	0.0%	✅
YosemiteTemps	RMSE	2.16631	2.16631	0.0%	✅
YosemiteTemps	Loss	0.00066	0.00066	0.0%	✅
YosemiteTemps	time	151.353	150.96	-0.26%	✅

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[codecov-commenter]

Codecov Report

Merging #1049 (1514276) into main (a450326) will decrease coverage by 0.00%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##             main    #1049      +/-   ##
==========================================
- Coverage   90.32%   90.31%   -0.01%     
==========================================
  Files          21       21              
  Lines        4764     4762       -2     
==========================================
- Hits         4303     4301       -2     
  Misses        461      461              

Impacted Files	Coverage Δ
neuralprophet/plot_utils.py	89.82% <ø> (-0.09%)	⬇️

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[alfonsogarciadecorral]

All good