[minor] Address warnings

[leoniewgnr]

🔬 Background

Some warnings could be fixed, fixes #1159

🔮 Key changes

Fixed warnings

• test_integration.py: neuralprophet/data/process.py:126: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

Not addressed and reason

• neural_prophet/.venv/lib/python3.9/site-packages/plotly_resampler/aggregation/aggregators.py:25: UserWarning: Could not import lttbc; will use a (slower) python alternative.
  warnings.warn("Could not import lttbc; will use a (slower) python alternative.")
  --> will be removed in the near future, see Windows: Could not import lttbc predict-idlab/plotly-resampler#180
• torch: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
  --> is already fixed in torch 2.0, see here for the commit, that fixes it: fix DeprecationWarning pytorch/pytorch#95545 (merged on Feb 27)
• DeprecationWarning: Deprecated call to pkg_resources.declare_namespace('pytorch_lightning').
  Implementing implicit namespace packages (as specified in PEP 420) is preferred to pkg_resources.declare_namespace. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
  import("pkg_resources").declare_namespace(name)
  --> Lightning knows about the warning and are on it, see DeprecationWarning: pkg_resources is deprecated as an API Lightning-AI/pytorch-lightning#16756

📋 Review Checklist

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

[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	4.10218	4.06	-1.03%	✅
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	93.5185	91.36	-2.31%	✅
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	11.683	11.53	-1.31%	✅

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[noxan]

LGTM