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✨ Enable regression & misc #27
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o-laurent
commented
Jun 13, 2023
Add an arg to CLI to split regression and cls 🔨 Modify tests accordingly :check_mark: Add a regression recipe ✨ Add a small MLP model ✨ Add an MLP baseline ✨ Add a UCIRegression Datamodule ✨ Add GaussianNLL lightning metric ✨ Add an experiment ✨
Add parameter for OOD eval
✅ improve routine tests
Switch to torch.sigmoid (deprecation)
o-laurent
changed the title
Enable regression training ✨
Enable regression training & misc ✨
Jun 23, 2023
o-laurent
changed the title
Enable regression training & misc ✨
Enable regression & misc ✨
Jun 23, 2023
✅ Adapt tests
Documentation is missing but the code seems approx fine. |
🎨 rename cls_main to cli_main
models are now wrapped into a ModuleList enabling efficient device migration and parameter registration
tests have been made on CIFAR10 with two vanilla ResNet18 using the associated experiment file
tests done using two MLPs on kin8nm dataset.
o-laurent
commented
Jul 5, 2023
alafage
requested changes
Jul 8, 2023
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It seems to me that there are typos in some datamodules when defining both train and validation sets using random_split. Otherwise this pull request is fine enough to be merged to dev :)
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Done for now:
Add an arg to CLI to split regression and cls 🔨 Modify tests accordingly ✔️
Add a regression recipe ✨
Add a small MLP model ✨
Add an MLP baseline ✨
Add a UCIRegression Datamodule ✨
Add GaussianNLL lightning metric ✨
Add an experiment ✨