Comments (1)
Hi! thanks for your contribution!, great first issue!
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Related Issues (20)
- Multiple threshold for Multilabel metrics HOT 1
- Cannot import the "clustering" module HOT 5
- Potentially Misleading Error Message for multiclass_precision HOT 2
- Accuracy incurs a GPU/CPU sync point HOT 3
- Support equivalent of torcheval's `merge_state` HOT 1
- Multilabel metrics based on threshold should accept a threshold per label
- Recall and Accuracy produce different values when used with logits HOT 1
- Cloning `MultitaskWrapper` with postfix parameters results in incorrect dictionary HOT 5
- f-string should be used in exception HOT 2
- `zero_division` does not work for binary IoU (Jaccard index) calculation and returns NaN HOT 1
- `higher_is_better` for `InfoLM` should change depending on `information_measure` HOT 2
- GPL 2.0 License detected in `functional/text/chrf.py` HOT 3
- truncation cause error while using `bert_score` HOT 3
- `log_dict` to support `ClasswiseWrapper`
- `FrechetInceptionDistance` hangs when used with multiple devices in PytorchLightning HOT 2
- Make `ignore_index` work when all batch elements are to be ignored HOT 1
- procrustes alignment HOT 6
- Please don't make us specify the number of outputs for R2Score HOT 1
- The typing on the `compute` method of multi label metrics is wrong HOT 3
- LightningModule attribute as a list of torchmetrics Metric gives error with DDP
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