Fix path #333
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Fix path #333
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Feature/experiment hsn resnet
add multilabel ece
- Implementing it based on torchmetrics.BinaryClassificationError - Support marginal(a.k.a. class wise computation of ECE and averaging), weighted (class wise weighted by number of samples per class) and global (flatten predictions and therefore ignore classes) - Top-k by selecting classes based on max prediction scores, predicted classes and target classes - Tidy up code by removing unused code
…king This PR adds config parameters (module.metrics.num_labels and module.mask_logits) to run evaluation without masking / restricting the logits to the classes in the test set. This enables aggregating the predictions over all BirdSet test sets. Bonus: Add launch.json for debugging.
Analyse calibration of ConvNext_BS on BirdSet
add metric config without metrics for fast computation
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