Improved parameter validation for TorchForecastingModel

[tRosenflanz]

Fixes #2843

Summary

Simple improvement to consider parameters of the full class inheritance of the checked class instead of specific classes for TorchForecastingModel

[codecov]

Codecov Report

❌ Patch coverage is 81.81818% with 2 lines in your changes missing coverage. Please review.
✅ Project coverage is 95.29%. Comparing base (cf3a396) to head (c4dd9f4).
⚠️ Report is 16 commits behind head on master.

Files with missing lines	Patch %	Lines
...arts/models/forecasting/torch_forecasting_model.py	81.81%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #2908      +/-   ##
==========================================
- Coverage   95.38%   95.29%   -0.09%     
==========================================
  Files         146      146              
  Lines       15628    15638      +10     
==========================================
- Hits        14907    14903       -4     
- Misses        721      735      +14     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[tRosenflanz]

Do you want me to add a test for this? I can use the example from the original issue for it

[dennisbader]

Hi @tRosenflanz and thanks a lot for the PR 🚀

Yes, a unit test would be great :) Could you also:

• try to improve the code coverage with the new tests (from the codecov comment above).
• add an entry to CHANGELOG.md describing your change