[minor] fixed prediction_frequency when quantiles are set

[leoniewgnr]

🔬 Background

see #1346

🔮 Key changes

only used first dimension of components[comp]

[leoniewgnr]

can anybody confirm that the first dimension of component[comp] corresponds to the 50% forecast?

[github-actions]

Model Benchmark

Benchmark	Metric	main	current	diff
YosemiteTemps	MAE_val	1.3442	1.3442	0.0%	✅
YosemiteTemps	RMSE_val	2.00245	2.00245	0.0%	✅
YosemiteTemps	Loss_val	0.00077	0.00077	0.0%	✅
YosemiteTemps	MAE	1.3192	1.3192	0.0%	✅
YosemiteTemps	RMSE	2.13518	2.13518	0.0%	✅
YosemiteTemps	Loss	0.00064	0.00064	0.0%	✅
YosemiteTemps	time	73.103	71.07	-2.78%	✅
PeytonManning	MAE_val	0.58159	0.58159	0.0%	✅
PeytonManning	RMSE_val	0.72216	0.72216	0.0%	✅
PeytonManning	Loss_val	0.01239	0.01239	0.0%	✅
PeytonManning	MAE	0.41671	0.41671	0.0%	✅
PeytonManning	RMSE	0.55961	0.55961	0.0%	✅
PeytonManning	Loss	0.00612	0.00612	0.0%	✅
PeytonManning	time	14.8921	14.83	-0.42%	✅
AirPassengers	MAE_val	13.0626	13.0626	0.0%	✅
AirPassengers	RMSE_val	15.9453	15.9453	0.0%	✅
AirPassengers	Loss_val	0.00131	0.00131	0.0%	✅
AirPassengers	MAE	9.88156	9.88156	0.0%	✅
AirPassengers	RMSE	11.7354	11.7354	0.0%	✅
AirPassengers	Loss	0.00052	0.00052	0.0%	✅
AirPassengers	time	6.42825	6.34	-1.37%	✅

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[codecov]

Codecov Report

Merging #1347 (e143bdc) into main (8465b40) will not change coverage.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##             main    #1347   +/-   ##
=======================================
  Coverage   89.88%   89.88%           
=======================================
  Files          38       38           
  Lines        5103     5103           
=======================================
  Hits         4587     4587           
  Misses        516      516           

Impacted Files	Coverage Δ
neuralprophet/data/process.py	92.56% <100.00%> (ø)

[LeonieFreisinger]

LGTM!