[minor] Memory optimized stride function

[leoniewgnr]

🔬 Background

def _stride_time_features_for_forecasts(x) uses a lot of memory

🔮 Key changes

replace with np.lib.stride_tricks.as_strided

[github-actions]

Model Benchmark

Benchmark	Metric	main	current	diff
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	58.4559	57.93	-0.9%	✅
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	11.4212	12.32	7.87%	❌
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	4.9221	5.18	5.24%	⚠️

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[codecov]

Codecov Report

Merging #1400 (19cebdb) into main (4c31824) will increase coverage by 0.01%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##             main    #1400      +/-   ##
==========================================
+ Coverage   89.84%   89.85%   +0.01%     
==========================================
  Files          38       38              
  Lines        5061     5068       +7     
==========================================
+ Hits         4547     4554       +7     
  Misses        514      514              

Files Changed	Coverage Δ
neuralprophet/time_dataset.py	95.54% <100.00%> (+0.10%)	⬆️

[noxan]

Great improvement on readability and performance 👍