[refactor] Encapsulate _reshape_raw_predictions_to_forecst_df

[LeonieFreisinger]

🔬 Background

close #1133
This PR is part of a series of PRs belonging to step 2 of restructuring the forecaster.py. Step 1 was to move identified functions out of the forecaster.py into dedicated files. Step 2 is to encapsulate the input arguments of the moved functions. Step2 will be implemented step-by-step within multiple PRs

🔮 Key changes

• Encapsulate _reshape_raw_predictions_to_forecst_df including docstring and typing.
• Add new Component type

📋 Review Checklist

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

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

[github-actions]

Model Benchmark

Benchmark	Metric	main	current	diff
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	5.28585	5.28	-0.11%	✅
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	65.6895	66.49	1.22%	✅
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	12.8038	12.76	-0.34%	✅

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[codecov-commenter]

Codecov Report

Merging #1293 (ae951a6) into main (5e8fa94) will increase coverage by 0.00%.
The diff coverage is 100.00%.

📣 This organization is not using Codecov’s GitHub App Integration. We recommend you install it so Codecov can continue to function properly for your repositories. Learn more

@@           Coverage Diff           @@
##             main    #1293   +/-   ##
=======================================
  Coverage   89.85%   89.86%           
=======================================
  Files          38       38           
  Lines        5128     5131    +3     
=======================================
+ Hits         4608     4611    +3     
  Misses        520      520           

Impacted Files	Coverage Δ
neuralprophet/forecaster.py	87.38% <ø> (ø)
neuralprophet/data/process.py	92.50% <100.00%> (+0.03%)	⬆️
neuralprophet/np_types.py	100.00% <100.00%> (ø)

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.

[noxan]

LGTM