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lines changed Original file line number Diff line number Diff line change @@ -8,47 +8,28 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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---
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- ## [ UnReleased ] - 2024-MM-DD
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+ ## [ 1.6.2 ] - 2024-02-28
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### Added
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- Added ` zero_division ` argument to ` DiceScore ` in segmentation package ([ #2860 ] ( https://github.com/PyTorchLightning/metrics/pull/2860 ) )
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- Added ` cache_session ` to ` DNSMOS ` metric to control caching behavior ([ #2974 ] ( https://github.com/PyTorchLightning/metrics/pull/2974 ) )
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- Added ` disable ` option to ` nan_strategy ` in basic aggregation metrics ([ #2943 ] ( https://github.com/PyTorchLightning/metrics/pull/2943 ) )
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### Changed
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- Make ` num_classes ` optional for classification in case of micro averaging ([ #2841 ] ( https://github.com/PyTorchLightning/metrics/pull/2841 ) )
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- ### Removed
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- -
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+ - Enhance ` Clip_Score ` to calculate similarities between same modalities ([ #2875 ] ( https://github.com/PyTorchLightning/metrics/pull/2875 ) )
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### Fixed
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- Fixed ` DiceScore ` when there is zero overlap between predictions and targets ([ #2860 ] ( https://github.com/PyTorchLightning/metrics/pull/2860 ) )
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- - Fix ` MeanAveragePrecision ` for ` average="micro" ` when 0 label is not present ([ #2968 ] ( https://github.com/PyTorchLightning/metrics/pull/2968 ) )
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- - Fixed cornercase in ` PearsonCorrCoef ` when input is constant ([ #2975 ] ( https://github.com/PyTorchLightning/metrics/pull/2975 ) )
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+ - Fixed ` MeanAveragePrecision ` for ` average="micro" ` when 0 label is not present ([ #2968 ] ( https://github.com/PyTorchLightning/metrics/pull/2968 ) )
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+ - Fixed corner-case in ` PearsonCorrCoef ` when input is constant ([ #2975 ] ( https://github.com/PyTorchLightning/metrics/pull/2975 ) )
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- Fixed ` MetricCollection.update ` gives identical results ([ #2944 ] ( https://github.com/Lightning-AI/torchmetrics/issues/2944 ) )
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- Fixed missing ` kwargs ` in ` PIT ` metric for permutation wise mode ([ #2977 ] ( https://github.com/Lightning-AI/torchmetrics/pull/2977 ) )
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- Fixed multiple errors in the ` _final_aggregation ` function for ` PearsonCorrCoef ` ([ #2980 ] ( https://github.com/Lightning-AI/torchmetrics/pull/2980 ) )
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+ - Fixed incorrect CLIP-IQA type hints ([ #2952 ] ( https://github.com/Lightning-AI/torchmetrics/pull/2952 ) )
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## [ 1.6.1] - 2024-12-24
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- __version__ = "1.6.1 "
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+ __version__ = "1.6.2 "
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__author__ = "Lightning-AI et al."
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__author_email__ = "name@pytorchlightning.ai"
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__license__ = "Apache-2.0"
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