Comments (1)
Update Solution 2, which overrides the __getattr__
and __setattr__
of ClasswiseWrapper
from torchmetrics.
Related Issues (20)
- Can't access metrics in a MetricCollection via keys returned in MetricCollection.keys
- `log_dict` method breaks on `MultitaskWrapper` + `MetricCollection` combination HOT 2
- Incorrect value of AUROC when plotting a `PrecisionRecallCurve` metric with `score=True` HOT 2
- A way to run *any* metric async on cpu HOT 1
- Unable to plot `MetricCollection` containing prefix using `MetricCollection.plot()` HOT 1
- A new metric NPV HOT 1
- Error in ERGAS metric HOT 5
- top-k multiclass macro accuracy less than top-1 multiclass macro accuracy HOT 2
- top-k multiclass macro accuracy is not calculated correctly
- Error during argument validation: predictions can not contain `ignore_index` HOT 1
- Add a CW-SSIM support for torchmetrics HOT 8
- Create gallery of realistic examples
- Delay imports of optional dependencies such as torchaudio, torchvision HOT 1
- Incorrect result in computing `MulticlassRecall` macro average when `ignore_index` is specified HOT 1
- RetrievalNormalizedDCG doesn't change with different top_k values HOT 2
- BootStrapper.update/forward don't process kwargs HOT 1
- List Metric synchronization fails in corner case HOT 1
- Contribution: Add new audio/speech metrics for generative audio HOT 4
- ClasswiseWrapper and JaccardIndex confmat attribute error HOT 2
- MulticlassAveragePrecision crashes on .compute() if empty HOT 2
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from torchmetrics.