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releasing 1.6.2
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Borda committed Mar 3, 2025
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29 changes: 5 additions & 24 deletions CHANGELOG.md
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Expand Up @@ -8,47 +8,28 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

---

## [UnReleased] - 2024-MM-DD
## [1.6.2] - 2024-02-28

### Added

- Added `zero_division` argument to `DiceScore` in segmentation package ([#2860](https://github.com/PyTorchLightning/metrics/pull/2860))


- Added `cache_session` to `DNSMOS` metric to control caching behavior ([#2974](https://github.com/PyTorchLightning/metrics/pull/2974))


- Added `disable` option to `nan_strategy` in basic aggregation metrics ([#2943](https://github.com/PyTorchLightning/metrics/pull/2943))


### Changed

- Make `num_classes` optional for classification in case of micro averaging ([#2841](https://github.com/PyTorchLightning/metrics/pull/2841))


### Removed

-

- Enhance `Clip_Score` to calculate similarities between same modalities ([#2875](https://github.com/PyTorchLightning/metrics/pull/2875))

### Fixed

- Fixed `DiceScore` when there is zero overlap between predictions and targets ([#2860](https://github.com/PyTorchLightning/metrics/pull/2860))


- Fix `MeanAveragePrecision` for `average="micro"` when 0 label is not present ([#2968](https://github.com/PyTorchLightning/metrics/pull/2968))


- Fixed cornercase in `PearsonCorrCoef` when input is constant ([#2975](https://github.com/PyTorchLightning/metrics/pull/2975))


- Fixed `MeanAveragePrecision` for `average="micro"` when 0 label is not present ([#2968](https://github.com/PyTorchLightning/metrics/pull/2968))
- Fixed corner-case in `PearsonCorrCoef` when input is constant ([#2975](https://github.com/PyTorchLightning/metrics/pull/2975))
- Fixed `MetricCollection.update` gives identical results ([#2944](https://github.com/Lightning-AI/torchmetrics/issues/2944))


- Fixed missing `kwargs` in `PIT` metric for permutation wise mode ([#2977](https://github.com/Lightning-AI/torchmetrics/pull/2977))


- Fixed multiple errors in the `_final_aggregation` function for `PearsonCorrCoef` ([#2980](https://github.com/Lightning-AI/torchmetrics/pull/2980))
- Fixed incorrect CLIP-IQA type hints ([#2952](https://github.com/Lightning-AI/torchmetrics/pull/2952))


## [1.6.1] - 2024-12-24
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2 changes: 1 addition & 1 deletion src/torchmetrics/__about__.py
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__version__ = "1.6.1"
__version__ = "1.6.2"
__author__ = "Lightning-AI et al."
__author_email__ = "name@pytorchlightning.ai"
__license__ = "Apache-2.0"
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