[fix] Pytest for fix ValueError when plotting events components

[SimonWittner]

🔬 Background

Fixed ValueError when plotting events components using plot_parameters method inside forecaster.py, see #1366

🔮 Key changes

Simple fixing check_if_configured & get_valid_configuration function inside plot_utils.py
Added pytests for fix

📋 Review Checklist

• I have performed a self-review of my own code.
• I have commented my code, added docstrings and data types to function definitions.
• I have added pytests to check whether my feature / fix works.

[codecov]

Codecov Report

Merging #1434 (ad45b49) into main (50d5e41) will increase coverage by 0.04%.
Report is 2 commits behind head on main.
The diff coverage is 90.62%.

@@            Coverage Diff             @@
##             main    #1434      +/-   ##
==========================================
+ Coverage   89.85%   89.89%   +0.04%     
==========================================
  Files          38       38              
  Lines        5084     5088       +4     
==========================================
+ Hits         4568     4574       +6     
+ Misses        516      514       -2     

Files	Coverage Δ
neuralprophet/forecaster.py	87.40% <ø> (ø)
neuralprophet/utils.py	79.66% <100.00%> (+0.11%)	⬆️
neuralprophet/plot_utils.py	88.80% <88.88%> (+0.83%)	⬆️

[ourownstory]

Excellent!

[github-actions]

Model Benchmark

Benchmark	Metric	main	current	diff
YosemiteTemps	MAE_val	1.34899	1.34899	0.0%	✅
YosemiteTemps	RMSE_val	2.00817	2.00817	0.0%	✅
YosemiteTemps	Loss_val	0.00078	0.00078	0.0%	✅
YosemiteTemps	MAE	1.32133	1.32133	0.0%	✅
YosemiteTemps	RMSE	2.13713	2.13713	0.0%	✅
YosemiteTemps	Loss	0.00064	0.00064	0.0%	✅
YosemiteTemps	time	70.0035	58.36	-16.63%	🎉
PeytonManning	MAE_val	0.58162	0.58162	0.0%	✅
PeytonManning	RMSE_val	0.72218	0.72218	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	14.2688	12.88	-9.73%	🎉
AirPassengers	MAE_val	13.0627	13.0627	0.0%	✅
AirPassengers	RMSE_val	15.9453	15.9453	0.0%	✅
AirPassengers	Loss_val	0.00131	0.00131	0.0%	✅
AirPassengers	MAE	9.88153	9.88153	0.0%	✅
AirPassengers	RMSE	11.7354	11.7354	0.0%	✅
AirPassengers	Loss	0.00052	0.00052	0.0%	✅
AirPassengers	time	5.60932	5.28	-5.87%	🎉

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers