[fix] Correct holiday test and update version

[leoniewgnr]

🔬 Background

We are comparing holidays by names, but the holidays python package translates 'erster mai' to labor day, which results in two labor days (US and german one), so that the number of holidays are not the same in english and german language (depends on the system language).
This only appears in the newest version of holidays, but I think we should fix that so that we can upgrade holidays

🔮 Key changes

removed line in test

Certainly! Below are the tables for each year, listing the name of the holiday for each date as per the terminal and VS Code data.

Table for 2009

Date	English	German
2009-01-01	New Year's Day	Neujahr
2009-01-19	Martin Luther King Jr. Day	Martin Luther King Jr. Day
2009-02-16	Washington's Birthday	Washington's Birthday
2009-04-10	Good Friday	Karfreitag
2009-04-13	Easter Monday	Ostermontag
2009-05-01	Labor Day	Erster Mai
2009-05-21	Ascension Day	Christi Himmelfahrt
2009-05-25	Memorial Day	Memorial Day
2009-06-01	Whit Monday	Pfingstmontag
2009-07-03	Independence Day (Observed)	Independence Day (Observed)
2009-07-04	Independence Day	Independence Day
2009-09-07	Labor Day	Labor Day
2009-10-03	German Unity Day	Tag der Deutschen Einheit
2009-10-12	Columbus Day	Columbus Day
2009-11-11	Veterans Day	Veterans Day
2009-11-26	Thanksgiving	Thanksgiving
2009-12-25	Christmas Day	Erster Weihnachtstag
2009-12-26	Second Day of Christmas	Zweiter Weihnachtstag

[codecov]

Codecov Report

Merging #1431 (dc2a8f5) into main (50d5e41) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##             main    #1431   +/-   ##
=======================================
  Coverage   89.85%   89.85%           
=======================================
  Files          38       38           
  Lines        5084     5086    +2     
=======================================
+ Hits         4568     4570    +2     
  Misses        516      516           

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

[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	60.5567	66.3	9.48%	❌
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	12.7091	13.88	9.21%	❌
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	5.36092	5.51	2.78%	✅

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers