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🔨 Rework for Probabilistic Regression & Pixel Regression #125

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@alafage alafage commented Nov 28, 2024

  • Rework Distribution Layers to be classifiers returning distribution parameters in a dictionary.
  • Update RegressionRoutine
  • Update PixelRegressionRoutine
  • Update Tutorials
  • Update API Reference
  • Fix DistributionNLL (loss / metric)
  • Update BTS baseline
  • Add tutorial for simple probabilistic regression
  • Update existing tests
  • Write tests

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codecov bot commented Nov 28, 2024

Codecov Report

Attention: Patch coverage is 93.10345% with 16 lines in your changes missing coverage. Please review.

Project coverage is 98.98%. Comparing base (86eec13) to head (9fde14f).
Report is 1 commits behind head on dev.

✅ All tests successful. No failed tests found.

Files with missing lines Patch % Lines
torch_uncertainty/utils/distributions.py 50.00% 6 Missing and 2 partials ⚠️
torch_uncertainty/losses/bayesian.py 71.42% 1 Missing and 1 partial ⚠️
torch_uncertainty/losses/regression.py 71.42% 1 Missing and 1 partial ⚠️
...orch_uncertainty/models/wrappers/deep_ensembles.py 66.66% 1 Missing and 1 partial ⚠️
torch_uncertainty/routines/regression.py 93.75% 1 Missing and 1 partial ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##              dev     #125      +/-   ##
==========================================
- Coverage   99.21%   98.98%   -0.24%     
==========================================
  Files         142      142              
  Lines        6792     6828      +36     
  Branches      849      855       +6     
==========================================
+ Hits         6739     6759      +20     
- Misses         24       34      +10     
- Partials       29       35       +6     
Flag Coverage Δ
cpu 98.98% <93.10%> (-0.24%) ⬇️
pytest 98.98% <93.10%> (-0.24%) ⬇️

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@alafage alafage added the enhancement New feature or request label Nov 28, 2024
@alafage alafage self-assigned this Nov 28, 2024
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