v0.3.0rc
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CHANGELOG.md
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CHANGELOG.md
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@ -5,83 +5,52 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [UnReleased] - 2021-MM-DD
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## [0.3.0] - 2021-04-DD
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### Added
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- Added `prefix` argument to `MetricCollection` ([#70](https://github.com/PyTorchLightning/metrics/pull/70))
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- Added `CohenKappa` metric ([#69](https://github.com/PyTorchLightning/metrics/pull/69))
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- Added `RetrievalMAP` metric for Information Retrieval ([#5032](https://github.com/PyTorchLightning/pytorch-lightning/pull/5032))
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- Added `RetrievalMRR` metric for Information Retrieval ([#119](https://github.com/PyTorchLightning/metrics/pull/119))
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- Added `RetrievalPrecision` metric for Information Retrieval ([#139](https://github.com/PyTorchLightning/metrics/pull/139))
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- Added `RetrievalRecall` metric for Information Retrieval ([#146](https://github.com/PyTorchLightning/metrics/pull/146))
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- Added `RetrievalNormalizedDCG` metric for Information Retrieval ([#160](https://github.com/PyTorchLightning/metrics/pull/160))
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- Added `RetrievalFallOut` metric for Information Retrieval ([#161](https://github.com/PyTorchLightning/metrics/pull/161))
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- Added `BootStrapper` to easely calculate confidence intervals for metrics ([#101](https://github.com/PyTorchLightning/metrics/pull/101))
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- Added metrics for Information Retrieval ([(PL^5032)](https://github.com/PyTorchLightning/pytorch-lightning/pull/5032)):
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* Added `RetrievalMAP` ([#5032](https://github.com/PyTorchLightning/pytorch-lightning/pull/5032))
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* Added `RetrievalMRR` ([#119](https://github.com/PyTorchLightning/metrics/pull/119))
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* Added `RetrievalPrecision` ([#139](https://github.com/PyTorchLightning/metrics/pull/139))
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* Added `RetrievalRecall` ([#146](https://github.com/PyTorchLightning/metrics/pull/146))
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* Added `RetrievalNormalizedDCG` ([#160](https://github.com/PyTorchLightning/metrics/pull/160))
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* Added `RetrievalFallOut` ([#161](https://github.com/PyTorchLightning/metrics/pull/161))
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- Added other metrics:
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* Added `CohenKappa` ([#69](https://github.com/PyTorchLightning/metrics/pull/69))
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* Added `MatthewsCorrcoef` ([#98](https://github.com/PyTorchLightning/metrics/pull/98))
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* Added `Hinge` ([#120](https://github.com/PyTorchLightning/metrics/pull/120))
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- Added `average='micro'` as an option in AUROC for multilabel problems ([#110](https://github.com/PyTorchLightning/metrics/pull/110))
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- Added `MatthewsCorrcoef` metric ([#98](https://github.com/PyTorchLightning/metrics/pull/98))
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- Added `Hinge` metric ([#120](https://github.com/PyTorchLightning/metrics/pull/120))
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- Added multilabel support to `ROC` metric ([#114](https://github.com/PyTorchLightning/metrics/pull/114))
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- Added testing for `half` precision ([#77](https://github.com/PyTorchLightning/metrics/pull/77),
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[#135](https://github.com/PyTorchLightning/metrics/pull/135)
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)
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- Added `BootStrapper` to easely calculate confidence intervals for metrics ([#101](https://github.com/PyTorchLightning/metrics/pull/101))
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- Added `prefix` argument to `MetricCollection` ([#70](https://github.com/PyTorchLightning/metrics/pull/70))
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- Added `__getitem__` as metric arithmetic operation ([#142](https://github.com/PyTorchLightning/metrics/pull/142))
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### Changed
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- Changed `ExplainedVariance` from storing all preds/targets to tracking 5 statistics ([#68](https://github.com/PyTorchLightning/metrics/pull/68))
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- Changed behaviour of `confusionmatrix` for multilabel data to better match `multilabel_confusion_matrix` from sklearn ([#134](https://github.com/PyTorchLightning/metrics/pull/134))
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- Updated FBeta arguments ([#111](https://github.com/PyTorchLightning/metrics/pull/111))
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### Deprecated
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- Rename argument `is_multiclass` -> `multiclass` ([#162](https://github.com/PyTorchLightning/metrics/pull/162))
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### Removed
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- Prune remaining deprecated ([#92](https://github.com/PyTorchLightning/metrics/pull/92))
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### Fixed
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- Fixed when `_stable_1d_sort` to work when n >= N ([#6177](https://github.com/PyTorchLightning/pytorch-lightning/pull/6177))
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- Fixed when `_stable_1d_sort` to work when n >= N ([PL^6177](https://github.com/PyTorchLightning/pytorch-lightning/pull/6177))
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- Fixed `_computed` attribute not being correctly reset ([#147](https://github.com/PyTorchLightning/metrics/pull/147))
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## [0.2.0] - 2021-03-12
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### Changed
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- Decoupled PL dependency ([#13](https://github.com/PyTorchLightning/metrics/pull/13))
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@ -1,4 +1,4 @@
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__version__ = '0.3.0dev'
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__version__ = '0.3.0rc0'
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__author__ = 'PyTorchLightning et al.'
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__author_email__ = 'name@pytorchlightning.ai'
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__license__ = 'Apache-2.0'
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