Comments (1)
Hi! thanks for your contribution!, great first issue!
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Related Issues (20)
- Discrepancy in optimal threshold calculation between sklearn and torchmetrics ROC implementations HOT 2
- Mean Average Detection ignores `warn_on_many_detections` set to False HOT 1
- `list` states leak (`Tensor`) memory HOT 1
- Behaviors of AUROC and Average Precision are inconsistent when all labels are equal HOT 4
- The default value of `compute_with_cache` should be `True` . HOT 2
- Bug in ERGAS HOT 2
- Ordinal classification metrics HOT 1
- Binary Classification Expected Calibration Error HOT 2
- `intersection_over_union` error HOT 2
- Clarify that nan is supported in zero_division HOT 4
- Add `_filter_kwargs` in `ClasswiseWrapper` metric wrapper HOT 3
- `MetricTracker` use `higher_is_better` as default for maximize HOT 2
- Unpredictable class order when `panoptic_quality(..., return_per_class=True)`
- torchmetrics Accuracy HOT 8
- BootStrapper.reset() does not reset properly
- segmentation.MeanIoU is wrong HOT 3
- DataLoader worker is killed in Docker HOT 4
- MeanAveragePrecision - bug in `max_detection_thresholds` HOT 3
- Documentation of ERGAS HOT 1
- Support for DLM (AIM) metric HOT 1
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