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AI4SIM / model-collection

This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is structured on the basis of use-cases providing canonical PyTorch Lightning pipelines allowing to train neural network models that are able to surrogate various physical processes.
Apache License 2.0
16 stars 5 forks source link

SBRA-575 remove the mflow tracking #34

Closed A669015 closed 5 months ago

A669015 commented 5 months ago

Actually no real mlflow usage to be removed on main branch.

github-actions[bot] commented 5 months ago

Coverage report for weather_forecast/gwd/ use-case

File Coverage Missing
All files 93% :white_check_mark:
config.py 95% :white_check_mark: 37
data.py 98% :white_check_mark: 157
models.py 89% :white_check_mark: 37-40 90 99
trainer.py 88% :white_check_mark: 75-76 80

Minimum allowed coverage is 80%

Generated by :monkey: cobertura-action against efb0b56e0bb0a653c75d36c9f837b17d482c696d

github-actions[bot] commented 5 months ago

Coverage report for combustion/unets/ use-case

File Coverage Missing
All files 91% :white_check_mark:
config.py 95% :white_check_mark: 38
data.py 91% :white_check_mark: 62 76 79 122 132 138
models.py 87% :white_check_mark: 41-42 45 48
trainer.py 75% :x: 58-61 65-66 70
unet.py 96% :white_check_mark: 90 120

Minimum allowed coverage is 80%

Generated by :monkey: cobertura-action against efb0b56e0bb0a653c75d36c9f837b17d482c696d

github-actions[bot] commented 5 months ago

Coverage report for combustion/gnns/ use-case

File Coverage Missing
All files 84% :white_check_mark:
config.py 94% :white_check_mark: 46 82 109
data.py 81% :white_check_mark: 109-136 163 215
inferer.py 89% :white_check_mark: 224-240
models.py 69% :x: 85 116-139 164-168 218-222
plotters.py 92% :white_check_mark: 55-56 142-143 146-147 160 165
trainer.py 68% :x: 67-72 81-83 87-89

Minimum allowed coverage is 80%

Generated by :monkey: cobertura-action against efb0b56e0bb0a653c75d36c9f837b17d482c696d