[refactor] Rename config_seasonality and add typings

[noxan]

#1018

[github-actions]

b983474

Model Benchmark

Benchmark	Metric	main	current	diff
AirPassengers	MAE_val	15.2698	15.2698	0.0%	✅
AirPassengers	RMSE_val	19.4209	19.4209	0.0%	✅
AirPassengers	Loss_val	0.00195	0.00195	0.0%	✅
AirPassengers	RegLoss_val	0	0	0.0%	✅
AirPassengers	epoch	89	89	0.0%	✅
AirPassengers	MAE	9.82902	9.82902	0.0%	✅
AirPassengers	RMSE	11.7005	11.7005	0.0%	✅
AirPassengers	Loss	0.00056	0.00056	0.0%	✅
AirPassengers	RegLoss	0	0	0.0%	✅
AirPassengers	time	4.55	7.88	73.19%	⚠️
PeytonManning	MAE_val	0.64636	0.64636	-0.0%	✅
PeytonManning	RMSE_val	0.79276	0.79276	-0.0%	✅
PeytonManning	Loss_val	0.01494	0.01494	-0.0%	✅
PeytonManning	RegLoss_val	0	0	0.0%	✅
PeytonManning	epoch	37	37	0.0%	✅
PeytonManning	MAE	0.42701	0.42701	0.0%	✅
PeytonManning	RMSE	0.57032	0.57032	-0.0%	✅
PeytonManning	Loss	0.00635	0.00635	0.0%	✅
PeytonManning	RegLoss	0	0	0.0%	✅
PeytonManning	time	11.89	20.96	76.28%	⚠️
YosemiteTemps	MAE_val	1.72949	1.72948	-0.0%	✅
YosemiteTemps	RMSE_val	2.27386	2.27386	-0.0%	✅
YosemiteTemps	Loss_val	0.00096	0.00096	-0.0%	✅
YosemiteTemps	RegLoss_val	0	0	0.0%	✅
YosemiteTemps	epoch	84	84	0.0%	✅
YosemiteTemps	MAE	1.45189	1.45189	-0.0%	✅
YosemiteTemps	RMSE	2.16631	2.16631	-0.0%	✅
YosemiteTemps	Loss	0.00066	0.00066	0.0%	✅
YosemiteTemps	RegLoss	0	0	0.0%	✅
YosemiteTemps	time	93.68	168.3	79.65%	⚠️

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[codecov-commenter]

Codecov Report

Merging #1021 (2d2f43a) into main (10c0cb0) will not change coverage.
The diff coverage is 91.17%.

@@           Coverage Diff           @@
##             main    #1021   +/-   ##
=======================================
  Coverage   90.26%   90.26%           
=======================================
  Files          21       21           
  Lines        4737     4737           
=======================================
  Hits         4276     4276           
  Misses        461      461           

Impacted Files	Coverage Δ
neuralprophet/plot_forecast_matplotlib.py	83.41% <25.00%> (ø)
neuralprophet/time_net.py	90.57% <83.33%> (ø)
neuralprophet/utils.py	82.58% <92.85%> (ø)
neuralprophet/configure.py	90.33% <100.00%> (ø)
neuralprophet/forecaster.py	88.45% <100.00%> (ø)
neuralprophet/plot_forecast_plotly.py	87.32% <100.00%> (ø)
neuralprophet/plot_model_parameters_matplotlib.py	90.50% <100.00%> (ø)
neuralprophet/plot_model_parameters_plotly.py	94.86% <100.00%> (ø)
neuralprophet/plot_utils.py	89.91% <100.00%> (ø)
neuralprophet/time_dataset.py	94.44% <100.00%> (ø)

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[judussoari]

merge conflict. Looks nice otherwise