[minor] Add a verbose option to NeuralProphet.test

[ziqin8]

🔬 Background

resolves #1367

🔮 Key changes

Add a verbose arg to NeuralProphet.test, surfacing the verbose option on trainer.test

📋 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.

Please make sure to follow our best practices in the Contributing guidelines.

[leoniewgnr]

@c3-ziqin this is really cool! Let me fix the linter ruff warnings before, then we are able to merge that, thanks a lot!

[codecov]

Codecov Report

Merging #1407 (11a5e6e) into main (fcc13e9) will not change coverage.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##             main    #1407   +/-   ##
=======================================
  Coverage   89.87%   89.87%           
=======================================
  Files          38       38           
  Lines        5067     5067           
=======================================
  Hits         4554     4554           
  Misses        513      513           

Files Changed	Coverage Δ
neuralprophet/forecaster.py	87.40% <100.00%> (ø)

[leoniewgnr]

@c3-ziqin shouldn't we set the default to False as it was false before, wasnt it?

[leoniewgnr]

@c3-ziqin shouldn't we set the default to False as it was false before, wasnt it?

Ah now the default was True, wasnt it? Can you confirm, then I'll go ahead and merge this.

[leoniewgnr]

LGTM

[ziqin8]

Yes can confirm the default was True as pytorch_lightning.Trainer.test has verbose=True

[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	60.0274	61.96	3.22%	⚠️
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	12.3331	12.87	4.35%	⚠️
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	5.27007	5.63	6.83%	⚠️

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers