Closed y-prudent closed 1 year ago
@paulnovello @cofri Should we remove the augment_fn
which seem redundant with preprocess_fn? If a user wants some DA for training only, he can do it through a preprocess_fn specific to the training dataset.
current status: ✅
Overall Coverage
Lines Covered Coverage Threshold Status 1615 1453 90% 70% 🟢 New Files
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Modified Files
File Coverage Status oodeel/datasets/torch_data_handler.py 89% 🟢 TOTAL 89% 🟢 updated for commit:
29f6787
by action🐍
Update
Now
preprocess_fn
provided as an argument ofOODDataset.prepare
method need to be defined for both frameworks with:(as it was the case for tf before)