This commit is contained in:
Jirka Borovec 2021-04-06 22:05:56 +02:00
Родитель 96ab7bd20e
Коммит 935994c8d5
2 изменённых файлов: 18 добавлений и 49 удалений

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

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@ -1,4 +1,4 @@
__version__ = '0.3.0dev'
__version__ = '0.3.0rc0'
__author__ = 'PyTorchLightning et al.'
__author_email__ = 'name@pytorchlightning.ai'
__license__ = 'Apache-2.0'