[major] Remove Python 3.7 support

[noxan]

🔬 Background

• Major dependencies removed Python 3.7 support and we follow along

🔮 Key changes

• Remove support for Python 3.7 (require 3.8.1 or newer, less than 3.11)

👷 Dependencies still not updated

• pandas 1.5.3 -> 2.0.0 Powerful data structures for data analysis, time series, and statistics - not compatible with plotly resampled yet (see Could you pls relax pandas requirement pandas = "^1.3.5"? pandas==2.0.0 was released! predict-idlab/plotly-resampler#193)
• pytorch-lightning 1.9.5 -> 2.0.1.post0 PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate. - depends on torch 2.0
• torch 1.13.1 -> 2.0.0 Tensors and Dynamic neural networks in Python with strong GPU acceleration, see Transition to Pytorch 2.0 #1229

[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	5.83889	6.47	10.81%	❌
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	74.3453	84.15	13.19%	❌
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	14.7501	15.28	3.59%	⚠️

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[jvdd]

Hey @noxan plotly-resampler pre-release 0.9.0rc0 should now allow using pandas 2.0 :)

[noxan]

I'll restart this effort after the poetry migration #1271

[noxan]

@jvdd many thanks for the hint, i'm very excited and will provide you with feedback - just closing this PR for the time being as we are migrating to poetry in parallel and there are a few weird version constraints (numpy, python version, etc)