[fix] Unregister plotly resampler directly after usage

[LeonieFreisinger]

🔬 Background

The plotly_resampler has not been unregistered after usage. That causes an error when plotting a go.Figure while having neuralprophet imported.

🔮 Key changes

• unregister plotly_resampler after every function call of a plotting function before it returns the fig.
• info: plotly_resampler functionality s not affected by it.

📋 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	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	MAE	9.82902	9.82902	0.0%	✅
AirPassengers	RMSE	11.7005	11.7005	0.0%	✅
AirPassengers	Loss	0.00056	0.00056	0.0%	✅
AirPassengers	time	4.00842	4.37	9.02%	❌
YosemiteTemps	MAE_val	1.71298	1.71298	0.0%	✅
YosemiteTemps	RMSE_val	2.2607	2.2607	0.0%	✅
YosemiteTemps	Loss_val	0.00095	0.00095	0.0%	✅
YosemiteTemps	MAE	1.45187	1.45187	0.0%	✅
YosemiteTemps	RMSE	2.16721	2.16721	0.0%	✅
YosemiteTemps	Loss	0.00066	0.00066	0.0%	✅
YosemiteTemps	time	91.2258	101.5	11.26%	❌
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	11.5787	12.38	6.92%	⚠️

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[codecov-commenter]

Codecov Report

Merging #1277 (2f7f860) into main (8b00060) will increase coverage by 0.00%.
The diff coverage is 100.00%.

❗ Current head 2f7f860 differs from pull request most recent head c93cfa5. Consider uploading reports for the commit c93cfa5 to get more accurate results

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@@           Coverage Diff           @@
##             main    #1277   +/-   ##
=======================================
  Coverage   89.87%   89.88%           
=======================================
  Files          38       38           
  Lines        5068     5073    +5     
=======================================
+ Hits         4555     4560    +5     
  Misses        513      513           

Impacted Files	Coverage Δ
neuralprophet/plot_forecast_plotly.py	87.10% <100.00%> (+0.20%)	⬆️
neuralprophet/plot_model_parameters_plotly.py	94.95% <100.00%> (+0.01%)	⬆️

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[noxan]

LGTM